US20090210813A1 - Systems and methods for computer equipment management - Google Patents

Systems and methods for computer equipment management Download PDF

Info

Publication number
US20090210813A1
US20090210813A1 US12/378,462 US37846209A US2009210813A1 US 20090210813 A1 US20090210813 A1 US 20090210813A1 US 37846209 A US37846209 A US 37846209A US 2009210813 A1 US2009210813 A1 US 2009210813A1
Authority
US
United States
Prior art keywords
computer equipment
condition
equipment locations
user interface
series
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Abandoned
Application number
US12/378,462
Inventor
Stephen D. Sawczak
Todd Komlenic
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
PNC Financial Services Group Inc
Original Assignee
PNC Financial Services Group Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by PNC Financial Services Group Inc filed Critical PNC Financial Services Group Inc
Priority to US12/378,462 priority Critical patent/US20090210813A1/en
Assigned to THE PNC FINANCIAL SERVICES GROUP, INC. reassignment THE PNC FINANCIAL SERVICES GROUP, INC. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: KOMLENIC, TODD, SAWCZAK, STEPHEN D.
Publication of US20090210813A1 publication Critical patent/US20090210813A1/en
Abandoned legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F1/00Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
    • G06F1/16Constructional details or arrangements
    • G06F1/20Cooling means
    • G06F1/206Cooling means comprising thermal management
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/30Monitoring
    • G06F11/3003Monitoring arrangements specially adapted to the computing system or computing system component being monitored
    • G06F11/3006Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system is distributed, e.g. networked systems, clusters, multiprocessor systems
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/30Monitoring
    • G06F11/3058Monitoring arrangements for monitoring environmental properties or parameters of the computing system or of the computing system component, e.g. monitoring of power, currents, temperature, humidity, position, vibrations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/30Monitoring
    • G06F11/32Monitoring with visual or acoustical indication of the functioning of the machine
    • G06F11/324Display of status information
    • G06F11/328Computer systems status display
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/26Government or public services
    • G06Q50/265Personal security, identity or safety
    • HELECTRICITY
    • H05ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
    • H05KPRINTED CIRCUITS; CASINGS OR CONSTRUCTIONAL DETAILS OF ELECTRIC APPARATUS; MANUFACTURE OF ASSEMBLAGES OF ELECTRICAL COMPONENTS
    • H05K7/00Constructional details common to different types of electric apparatus
    • H05K7/20Modifications to facilitate cooling, ventilating, or heating
    • H05K7/20709Modifications to facilitate cooling, ventilating, or heating for server racks or cabinets; for data centers, e.g. 19-inch computer racks
    • H05K7/20836Thermal management, e.g. server temperature control

Definitions

  • the present disclosure relates to systems and methods for managing computer equipment.
  • FIG. 1 illustrates one embodiment of a computer equipment management system
  • FIG. 2 illustrates one embodiment of a management function that may be implemented by the system of FIG. 1 ;
  • FIG. 3 illustrates a diagram of one embodiment of a server room floor showing an example method of classifying components by floor position
  • FIG. 4 illustrates a representation of one embodiment of an example cabinet for housing computer equipment
  • FIG. 5 a illustrates one embodiment of a user interface for presenting temperature data to a user
  • FIGS. 5 b and 5 c illustrate the interface of FIG. 5 a at animation points subsequent to the view shown in FIG. 5 a;
  • FIGS. 6 a , 6 b and 6 c illustrate the interface of FIG. 5 a configured to display current
  • FIGS. 7 a , 7 b and 7 c illustrate the interface of FIG. 5 a configured to display power consumption
  • FIG. 8 illustrates a cross-sectional diagram of one embodiment of a cooling configuration in an example server room
  • FIG. 9 illustrates a top view diagram of one embodiment of the server room of FIG. 8 ;
  • FIG. 10 illustrates one embodiment of a user interface for receiving and presenting the results of calculations involving temperature variables
  • FIG. 11 illustrates a user interface showing the server floor of FIG. 3 and illustrating the affected units resulting from a failure of an example power tower;
  • FIG. 12 illustrates one embodiment of a process flow for handling placing
  • FIG. 13 illustrates one embodiment of a user interface showing an alert ticket.
  • Computer equipment may include any type of equipment used by a computer or computer system including, for example, processing components such as servers, and networking components such as switches, routers, etc., power components and even cooling units.
  • the computer equipment may be housed in one or more dedicated server rooms or other similar facilities, where some equipment may be positioned on racks or in cabinets.
  • FIG. 1 illustrates one embodiment of a computer equipment management system 100 .
  • the system 100 may comprise computer equipment 112 as well as various other components for supporting the equipment 112 and implementing management functions. It will be appreciated that all of the components of the system 100 may be generally referred to as computer equipment.
  • computer equipment 112 may be housed in a plurality of cabinets 102 positioned within one or more server rooms.
  • each cabinet 102 may comprise one or more Cabinet Distribution Units (CDU's) 114 for managing power provided to the computer equipment 112 and one or more temperature probes 116 .
  • each cabinet 102 may include a first temperature probe 116 near its top and a second temperature probe 116 near its bottom.
  • CDU's Cabinet Distribution Units
  • each cabinet 102 may have at least one temperature probe on its inlet side and at least one temperature probe on its outlet side relative to the direction of cooling fans.
  • additional temperature probes may be positioned outside of the cabinets 102 to measure ambient temperature conditions.
  • the CDU's 114 , probes 116 and equipment 112 may be configured to communicate with other components of the system 100 over the network 118 .
  • Cooling units 104 may be present in each server room and may be utilized to dissipate heat generated by the computer equipment 112 , keeping the server room or rooms cool.
  • Cooling units 104 may include one or more Computer Room Air Conditioners (CRAC's).
  • Some cooling units 104 may be configured to provide operational data and/or receive configuration data over the network 118 .
  • Various power components 106 configured to manage power delivered to the various cabinets 102 , may be positioned inside or outside of the server room or rooms.
  • power components 106 may include circuit breakers, power distribution units (PDU's), cabinet distribution units (CDU's), manual transfer switches (MTS's), static transfer switches (STS's), and/or other power conditioning equipment.
  • PDU's power distribution units
  • CDU's cabinet distribution units
  • MTS's manual transfer switches
  • STS's static transfer switches
  • Power components 108 may also be configured to provide operational data and/or receive configuration data over the network 118 .
  • Power components 106 may be housed at any suitable locations including, within cabinets (e.g., CDU's 114 ), in walls, in stand-alone towers, etc.
  • User machines 108 may be utilized by various users to provide input regarding the management of the computer equipment 112 and also to receive results of various management functions.
  • User machines 108 may include any suitable type of input/output device including, for example, desktop computers, laptop computers, palm computers, cellular phones, etc.
  • the network 118 may be any suitable wired, wireless or mixed network.
  • the network 118 may comprise one or more local area networks (LAN's), one or more wide area networks (WAN's) or combinations thereof.
  • the system 100 may comprise a server 110 for implementing management functions, for example, as described herein below.
  • the server 110 may include one or more devices having processing capacity (e.g., at least one processor or equivalent hardware). Devices making up the server 110 (e.g., computer equipment) may, but need not be stored at a common location. For example, devices making up the server 110 may be located in the server room or rooms.
  • the server 110 may also communicate over the network 118 .
  • the server 110 may receive operational data from various components such as, CDU's 114 , temperature probes 116 , cooling units 104 , power components 108 and other management systems (not shown). Also, in some embodiments, the server 110 may provide configuration data to various system components, allowing the server 110 to control the operation of these components.
  • the server 110 may implement various management functions for managing the computer equipment 112 .
  • FIG. 2 illustrates one embodiment of a management module 200 that may be implemented by the server 110 to manage computer equipment 112 .
  • the management module 200 may comprise various functional sub-modules including, for example, a control module 202 and various environmental monitoring modules 204 .
  • the environmental monitoring modules 204 may monitor environmental conditions in the server room or rooms. These conditions may be monitored directly (e.g., utilizing sensors such as temperature probes 116 ) or may be derived from other factors, as described herein below. Depending on the application, results of environmental monitoring may be provided to the control module 202 in real-time, or may be cataloged for future use. Not every implementation of the system 100 and the module 200 will include all of the environmental monitoring modules 204 shown. Some may have different combinations of modules 204 and may include additional modules (not shown) as well.
  • a location module 214 may monitor the physical location of each component of the system 100 .
  • the location of a given component may be recorded by building, room, and floor position.
  • the location module 214 may describe the floor position of system components in any suitable way.
  • any suitable classification or coordinate system may be used.
  • FIG. 3 illustrates a diagram of one embodiment of a server room floor 300 showing an example method of classifying components by floor position.
  • the server room floor 300 is divided into a coordinate system, and each cabinet 102 , power components 106 , cooling unit 104 , etc. is classified by a set of coordinates.
  • the coordinate system is described by numeric values on a horizontal axis 303 and alphabetical values on a vertical axis 301 .
  • the floor 300 may be further sub-divided into a series of zones, with each zone comprising a set of coordinate values.
  • zone 308 comprises three rows of cabinets 102 , four cooling units 104 and power components 106 .
  • Other example zones, 310 , 312 , 314 are shown, and it will be appreciated that still other zones may be included, depending on the size and configuration of the floor 300 .
  • FIG. 4 illustrates a representation of one embodiment of an example cabinet 400 for housing computer equipment.
  • the vertical position of computer equipment within the cabinet 400 may be expressed in Rack Mount Units (RMU's).
  • the cabinet 400 comprises 42 RMU's, which are numbered 1-42.
  • Each piece of computer equipment may be assigned to one or more RMU's.
  • computer equipment ZPPNTD071-D071 is positioned at RMU 15 - 18 .
  • Some pieces of computer equipment take up the full-width of the cabinet 400 .
  • Computer equipment that does not take up the full width of the cabinet 400 may be also classified by horizontal position.
  • the location module 214 may track the location of system components, for example, by receiving an initial characterization of a system component location and subsequent indications of changes in the location of the system component. For example, when a system component is initially placed, its location may be recorded. When a system component is moved, this may also be recorded. In some embodiments, as described below, the location of any given system component will be determined by the control module 202 . According to various embodiments sensors may be used to determine the physical location of various components (radio frequency identification (RFID) sensors, etc.). The measured location may then be sent to the location module 214 .
  • RFID radio frequency identification
  • a temperature module 206 may monitor the temperature at various locations within a server room as well as, for example, the status of various cooling units 104 .
  • the temperature module 206 may receive and record readings from the temperature probes 116 .
  • An airflow module 205 may monitor the airflow and related characteristics.
  • a power monitoring module 208 may monitor power-related signals from system 100 equipment. For example, the current drawn on all three phases of a CDU 114 or other power components 106 may be monitored.
  • a weight monitoring module 212 may also be included.
  • the weight monitoring module 212 may derive or be pre-programmed with the location of structural components (e.g., floor beams) as well as the locations of various computer equipment.
  • the weight monitoring module 212 may compute, or assist the control module 202 in computing, an assessment of the best location for a new piece of computer equipment, for example, based on the location of existing equipment and the location of structural features such as floor beams.
  • the control module 202 may utilize the environmental readings provided by the environmental monitoring modules 204 to perform various management functions for the computer equipment 112 .
  • the control module 202 may determine the physical placement of computer equipment 112 within a server room and/or within a given cabinet 102 , as described herein.
  • the control module 202 may detect failures or other anomalies of the computer equipment 112 and/or various support equipment (e.g., CDU's 114 , temperature probes 116 , cooling units 104 , power components 106 , etc.), as described herein. Once a failure or anomaly is detected, the control module 202 may take action to correct the problem, or provide support information to a technician, who may then fix the problem.
  • the control module 202 may provide and/or set values for controllable factors to achieve desired environmental conditions. For example, as described herein, air flow characteristics may be manipulated to achieve a desired cooling profile.
  • control module 202 may include functionality for providing a user interface including graphical representations of environmental conditions.
  • FIG. 5 a illustrates one embodiment of a user interface 500 for presenting temperature data to a user. Temperature data may be received from and/or aggregated by the temperature module 208 .
  • the interface 500 comprises a field 502 showing a graphical representation of all or a portion of a server room.
  • the field 502 may illustrate a zone of a server room comprising three rows 504 of cabinets along with cooling units 506 .
  • Each of the cabinets shown at the field 502 may be colored to indicate its temperature.
  • the temperature of cabinets is indicated, it will be appreciated that any other computer equipment location may be described. Any suitable color scheme or scale may be used. In the embodiment shown, cool to hot temperatures are indicated on a continuum from dark blue to dark red, with white indicating temperatures between blue and red. Also, any other suitable visual scale may be used. For example, different shapes or blink rates may be used to indicate different temperatures.
  • the field 502 may also show a numerical indication of temperature 508 on each cabinet.
  • the temperatures displayed at the field 502 may be absolute temperatures or relative temperatures.
  • the temperature for each cabinet may be normalized by comparison to other cabinets in the same row, or other cabinets in the displayed zone.
  • the interface 500 may also include a chart field 510 showing temperature over time.
  • the chart field 510 illustrates the zone average temperature over an eight hour period.
  • a time line 511 may indicate which portion of the graph is illustrated at field 502 .
  • the interface 500 may be configured to display an animation of temperature data over time.
  • the environmental monitoring modules 204 may receive a chronological series of data from each cabinet 102 or other computer equipment location.
  • the interface 500 may be animated by chronologically displaying data from each of the cabinets 102 .
  • FIGS. 5 a , 5 b and 5 c illustrate shots in an animation sequence. The number of shots in any given animation may depend on the sampling rate (e.g., frequency of the series) and the desired length of the sequence in real time.
  • the user may navigate through the animation, for example, utilizing buttons 532 . Selecting button 534 may cause the animation to begin.
  • the interface 500 may include additional inputs allowing a user to customize an animation.
  • the Settings field 508 may allow the user to enter additional parameters that may relate to the static display of the interface 500 as well as to a desired animation. For example, the user may select the a site and zone to be displayed at inputs 512 and 514 . The desired duration of an animation in real time may be entered at input 516 . The desired environmental factor (e.g., temperature, current draw, etc.) may be entered at input 518 . Manipulating input 520 may allow the user to specify how temperature or other data is to be presented. For example, as illustrated, the temperature (e.g., color) of each cabinet is illustrated based on its deviation from the average temperature of other cabinets in the same row 504 .
  • Sensor location input 524 may allow the user to determine which sensors, or combinations of sensors, will have their output displayed. For example, as shown in FIG. 5 , the sensors at the top of the various cabinets have been selected. In other embodiments, sensors located at other various places could be selected, as well as combinations of the outputs of multiple sensor locations.
  • Inputs 526 and 528 allow the user to specify an ending date and time for the animation.
  • Input 550 may allow a user to recall a saved animation event.
  • An animation delay field 529 may allow the user to select a desired delay between frames in the animation.
  • FIGS. 6 a , 6 b and 6 c illustrate the interface 500 configured to display current drawn by the cabinets.
  • Current data may be collected and/or aggregated by the power monitoring module 208 .
  • the color of each cabinet may indicate an amount of current drawn, again with a continuum of dark blue to white to dark red indicating increasing current.
  • Current draw may also be animated in a manner similar to that described above.
  • FIGS. 6 a , 6 b and 6 c illustrate sequential shots during an animation.
  • FIGS. 7 a , 7 b and 7 c illustrate the interface of 500 configured to display power consumption.
  • Power consumption data may be collected and/or aggregated by the power monitoring module 208 .
  • power consumption data may be derived from current data and the voltage level of various components, which may be assumed constant.
  • power consumption data may be animated as described above.
  • FIGS. 7 a , 7 b and 7 c illustrate sequential shots during an animation. It will be appreciated that animations for additional environmental parameters may be generated in a similar manner.
  • Animation of computer equipment data as illustrated in FIGS. 5 a - c , 6 a - c , and 7 a - c has produced several unpredicted and unexpected results.
  • the inventors upon implementing the animation of temperature data, as shown in FIGS. 5 a - c , the inventors discovered a potentially harmful problem with their cooling units.
  • an animation of cabinet temperature by zone revealed a single cabinet with a temperature significantly higher than its neighbors.
  • the inventors inspected the cabinet and found that a piece of computer equipment had been installed backwards, causing all of the other equipment in the cabinet to heat up.
  • viewing an animation allowed the inventors to notice that a single cabinet had increased in temperature relative to its neighbors by 15° F. Upon inspection of the cabinet, the inventors realized that temperature probes in the cabinet had been misplaced.
  • viewing a temperature animation allowed the inventors to detect the failure of a cooling unit due to a coolant interruption.
  • FIG. 8 illustrates a cross-sectional diagram of one embodiment of a cooling configuration in an example server room 800 .
  • the diagram shows two cabinets 102 and a cooling unit 104 , which may be a computer room air conditioner or (CRAC).
  • the cabinets 102 may house computer equipment 112 as shown.
  • Aisles 806 , 808 between the cabinets may be classified as cold aisles 808 and hot aisles 806 .
  • FIG. 9 illustrates a top view diagram of one embodiment of the server room 800 . Four rows 902 of cabinets 102 are shown separated by cold aisles 808 and hot aisles 806 .
  • the cooling unit 104 may generate cold air, which is blown under the floor 812 .
  • static pressure under the floor 812 causes the cold air to flow up through perforated tiles 814 positioned in the floor 812 under the cold aisles 808 .
  • the cold air may be pulled through the cabinets 102 and devices 112 , for example, by cooling fans located in the cabinets 102 and/or the devices 112 .
  • As the cold air is pulled through the devices 112 it cools the devices and, as a result, heats up.
  • the now hot air emerges on the opposite side of the cabinets 112 into a hot aisle 806 .
  • the hot air either rises or is pulled by fans into a hot air return vents in the ceiling over the hot aisles 806 .
  • the hot air return vents channel the hot air back to the cooling unit 104 , where the cycle begins again.
  • the control module 202 may be programmed with functionality for managing the airflow characteristics of the server room 800 .
  • the airflow module 205 may monitor and/or estimate various airflow/cooling related factors including, for example, the number, type and placement of perforated tiles 814 , the static pressure generated below the floor 814 , and the difference in temperature between hot aisles 806 and cold aisles 808 (delta T).
  • the number, type and placement of perforated tiles 814 may be entered by a user, or may be monitored based on previous placement recommendations.
  • the static pressure generated below the floor 814 may be actively monitored by sensors in communication with the management module 200 , or may be received from a user based on periodic manual measurements.
  • the static pressure may not be constant under the entire floor 814 , but may vary based on, for example, distance from the cooling units 104 , obstructions under the floor 814 , etc.
  • the delta T may be actively monitored by temperature probes in communication with the management module 200 , may be received from a user based on periodic manual measurements, or may be derived based on other variables.
  • the control module 202 may manipulate and/or recommend changes to the airflow characteristics of the server room 800 in order to achieve adequate cooling and/or peak efficiency.
  • the airflow characteristics may be generally described by Equation (1) below:
  • Airflow may be derived from the static pressure under the floor 812 as well as the number and type of perforated tiles 814 .
  • Power may be the power dissipated by the equipment 112 present in the server room 800 , as measured by the power module 208 (e.g., by monitoring current draw).
  • Delta T may be a function of various factors including, the cooling characteristics of equipment actually present in the server room 800 . According to various embodiments, delta T may be multiplied by a constant c, which may be equal to 0.317.
  • airflow characteristics may be monitored and/or manipulated for the server room 800 as a whole, or for various sub-units thereof (e.g., zones, rows, cabinets.) If the airflow characteristics of a larger area are being monitored, then the various airflow characteristics may be aggregated according to any suitable method (e.g., average, etc.).
  • FIG. 10 illustrates one embodiment of a user interface 1000 for receiving and presenting the results of calculations involving airflow characteristics.
  • Field 1002 illustrates a curve showing delta T versus airflow in a zone of the server room 800 assuming a given power dissipation in the zone. As shown, airflow is expressed in units of cubic feet per minute (CFM).
  • CFM cubic feet per minute
  • Vertical line 1004 indicates an expected delta T, which may be based on industry standards, set by the user or calculated by the control module 202 to optimize the values of other airflow characteristics.
  • Horizontal line 1006 indicates the airflow necessary to bring about the expected delta T, given the zone power dissipation.
  • Horizontal line 1008 indicates the airflow actually being delivered to the zone (e.g., the delivered airflow). A numerical value for actual airflow may also be provided, as shown at field 1010 .
  • the control module 202 may calculate and display values for various controllable environmental factors to remedy the situation. For example, a difference between actual and target airflow may be indicated at field 1012 . In the scenario illustrated by FIG. 10 , this difference is a deficit, indicating that the actual airflow 1008 is low. Recommended actions for solving a deficit or surplus of airflow may be presented at fields 1014 and 1016 . In the example shown, the recommended remedy includes adding four perforated tiles 814 to the server room 800 at the locations indicated at field 1016 . For example, if the amount of airflow is to be increased, the recommended location for new perforated tiles may be close to the hottest cabinets of the zone. On the other hand, if the amount of airflow is to be decreased, the recommended locations for removing perforated tiles may be near cabinets that are relatively cool.
  • control module 202 may recommend that the cooling units 104 be manipulated to increase or reduce the static pressure under the floor 812 , thus increasing or decreasing airflow.
  • the cooling units 104 may recommend that certain equipment 112 be moved from the zone, thus reducing dissipated power.
  • the control module 202 may receive adjustments to some or all of the variables described above via the interface 1000 .
  • a user may provide an adjusted expected delta T.
  • the user may indicate a change in the airflow supported by each perforated tile.
  • the user may indicate a change in the power dissipated by the relevant zone.
  • control module 202 may be configured to implement corrections automatically rather that merely making recommendations to a user.
  • some perforated tiles 814 may have adjustable openings that may be manipulated by a servo or other motor.
  • the control module 202 may communicate with the various servos over the network 118 to individually manipulate the airflow at each perforated tile.
  • the control module 202 may be in communication with the various cooling units 104 or other cooling units 104 , allowing the control module 202 to manipulate the static air pressure and/or air temperature.
  • control module 202 may also include functionality for performing power failure analyses.
  • the control module 202 may derive the computer equipment 112 that would be affected by a failure of a given CDU 114 or power components 106 . This may be accomplished in any suitable way.
  • the control module 202 may maintain a database setting forth the power connectivity of each piece of computer equipment 112 . Modeling the failure of a CDU 114 or power components 106 may involve listing all of the equipment 112 that is connected directly or indirectly to the failed unit.
  • CDU's 114 and/or power components 106 may be backed up with an Uninterruptible Power Supply (UPS), while other CDU's 114 and/or power components 106 may be backed up by a typical normal/emergency (N/E) feeder.
  • UPS Uninterruptible Power Supply
  • N/E normal/emergency
  • many pieces of computer equipment 112 may be dual corded, allowing them to derive power from more than one CDU 114 and even more than one set of power components 106 .
  • equipment 112 deriving power from a UPS CDU 114 or power components 106 may stay up while generator power is implemented.
  • equipment 112 deriving power solely from an N/E CDU 114 or power components 106 may momentarily go down until generator power is implemented. Accordingly, the failure of a UPS CDU 114 or power components 106 may be considered more critical than the failure of an N/E CDU 114 or power components 106 .
  • the control module 202 may be configured to present the results of a power failure analysis graphically.
  • the diagram of the server floor 300 may be modified to illustrate only those cabinets 102 and other units that are affected by the failure of a power device 114 , 106 .
  • FIG. 11 illustrates a user interface showing the server floor 300 and illustrating the affected units 1102 resulting from a failure of example power components 106 .
  • the criticality of the failure of a given affected unit 1102 may be indicated by its color or other visual indication.
  • affected units 1102 having one or more UPS CDU's 114 or other power sources still in operation may be least critical and may be assigned a first color or visual indication.
  • Affected units 1102 having only N/E CDU's 114 or other power sources still available may be more critical and may be assigned a second color or visual indication.
  • Affected units with no CDU's or power sources still available may be most critical and may be assigned a third color or visual indication. It will be appreciated that affected units 1102 may be found and indicated at the cabinet level, or at the individual equipment 112 level.
  • the control module 202 may also include functionality for placing equipment 112 on a server floor.
  • FIG. 12 illustrates one embodiment of a process flow 1200 for placing equipment on a server floor, such as the server floor 300 .
  • the control module 202 may receive a reservation request.
  • the reservation request may specify the type of equipment 112 to be placed. Additional information regarding the equipment 112 to be placed may be either included with the reservation request or derived from the equipment type. Examples of such additional information may include, the height of the equipment in RMU's, the width of the equipment, the power dissipation of the equipment, the weight of the equipment, whether the equipment is single or dual-corded, etc.
  • Reservation requests may be entered manually and/or generated automatically in anticipation of future need.
  • the control module 202 may identify portions of the server floor that have sufficient power capacity to handle the equipment 112 to be placed. It will be appreciated that each zone 308 , 310 , 312 , 314 or other sub-unit of the server floor 300 may be designed with a given power capacity. The power capacity of a zone may be determined based on various factors including, for example, the number and/or capacity of cooling units 104 , the heat capacity of equipment 112 , etc. Different zones may have different power capacities. In some embodiments, the control module 202 may be configured to leave a safety margin in each zone (e.g., twenty percent of the total capacity). For example, a zone with a power capacity of 150 kW/ft 2 may not be considered to have excess capacity unless it is dissipating fewer than 135 kW/ft 2 .
  • a safety margin in each zone e.g., twenty percent of the total capacity. For example, a zone with a power capacity of 150 kW/ft 2 may not be considered to have excess capacity
  • the control module 202 may determine whether a zone has sufficient power capacity to accept the equipment 112 to be placed by comparing its present power dissipation with its capacity power dissipation as well as the power dissipation of the equipment 112 . For example, if the sum of the present power dissipation and the power dissipation of the equipment 112 to be placed is less than the capacity, then the zone may have sufficient capacity to accept the equipment 112 .
  • some zones may include equipment 112 with variable power requirements.
  • a server running multiple virtual machine-type instances may dissipate power at a rate proportional to its processing load.
  • software packages that may cause a server to dissipate power based on its processing load include, for example, VMWARE and Oracle VM virtual machine software for INTEL compatible platforms, M-SERIES software for SUN SPARCSTATION platforms, etc.
  • One example variable power server may dissipate between 500 kW and 1000 kW, depending on load.
  • the control module 202 may be configured to consider equipment 112 with variable power requirements when calculating both the existing power dissipation of a zone and the power dissipation of the equipment 112 to be placed.
  • variable power requirement equipment may be considered to always dissipate at its maximum dissipation, regardless of its present state. This may prevent zones from exceeding their power capacity as the power dissipation of variable equipment changes.
  • the historical power dissipation of variable dissipation equipment may be analyzed to determine an expected maximum dissipation for the equipment. The equipment may then be considered to dissipate at the expected maximum, again regardless of present state. Any other suitable method may be used to account for computer equipment with variable power requirements.
  • each cabinet 102 may have a maximum power capacity based, for example, on the power capacity of the zone and any other characteristics specific to the cabinet (e.g., cooling characteristics, CDU 114 limitations, etc.).
  • the maximum power capacity of a cabinet 102 may be set to the power capacity of its zone divided by the number of cabinets therein.
  • the control module 202 may identify cabinets 102 that have free physical space sufficient to house the equipment 112 to be placed.
  • the cabinets identified at box 1206 may be within the zone or zones identified at box 1204 .
  • Each piece of equipment 112 to be placed may require a given number of contiguous RMU's for placement.
  • the cabinet 400 comprises free space between RMU's 25 and 28 . Accordingly, it has free physical space sufficient to house computer equipment 112 up to four RMU's in height and no more than one cabinet width in width.
  • the control module 202 may assign the equipment 112 to be placed to an identified space in a cabinet 102 , for example, based on the results of boxes 1204 and 1206 . According to various embodiments, the control module 202 may also consider weight factors. For example, the control module 202 may have access to diagrams of the structural components of the floor 300 , or an indication of the weight capacity of different portions of the floor 300 . The control module 202 may also have access to the weight of various components placed on the floor 300 as well as the weight of the equipment 112 that is the subject of the reservation request. Accordingly, the control module 202 may perform an analysis to determine whether placement of the equipment 112 that is the subject of the reservation request would exceed the weight capacity of the floor 300 or any portion thereof.
  • the control module 202 may also include functionality for detecting and reporting anomalous events in the system 100 .
  • the control module 202 may monitor operational parameters of the equipment 112 , CDU's 114 , cooling units 104 , power components 106 and other components of the system 100 .
  • Anomalous events may include any kind of event that is out of the ordinary or may signal a problem.
  • the loss of power to a CDU 114 or other component may be an anomalous event.
  • a failure of output from a cooling unit 104 , piece of computer equipment 112 , or other system component may be an anomalous event.
  • Other anomalous events may be based on parameter thresholds. For example, a cabinet 102 or zone may trigger an anomalous event if its temperature and/or current draw exceeds a given threshold.
  • the control unit 202 may prepare an alert ticket comprising an interface presenting information describing the event.
  • the alert ticket may then be routed to appropriate personnel. For example, if the anomalous event is regarding a particular type of computer equipment, the alert ticket may be routed to a technician with responsibility for power components. Also, for example, if the anomalous event is related to a particular zone, floor, or other unit of a server facility, then the alert ticket may be routed to a technician with responsibility for the zone, floor or other server facility unit.
  • the alert ticket may present multiple functionalities in a single interface.
  • FIG. 13 illustrates one embodiment of a user interface 1300 showing an alert ticket.
  • the interface 1300 may comprise a field 1104 indicating a ticket number, the affected system component and the nature of the problem.
  • the ticket shown by interface 1300 is regarding the loss of power to a CDU 114 .
  • the interface 1300 may also include an environmental field 1106 including environmental information that may be sensed or derived from various temperature probes 116 , CDU's 114 and other sensors, for example, as described herein.
  • An animation field 1308 may display an animation of temperature, current, power or some other variable, for example, as described above with respect to FIGS. 5 a - c , 6 a - c and 7 a - c .
  • Various other information may be included in the interface 1300 including, for example, a power impact analysis based on the system component that caused the anomalous event.
  • the specific functionalities presented by a single alert ticket may be determined based on a recipient of the alert ticket.
  • an alert ticket sent to a technician may include rich information describing the anomaly in a high level of detail.
  • animations and power impact analyses may be presented at the cabinet or even the individual component level.
  • an alert ticket sent to a server room manager or other administrator may include more general, high-level information.
  • animations and power impact analyses may be presented at the zone or even server room level.
  • a “computer” or “computer system” may be, for example and without limitation, either alone or in combination, a personal computer (PC), server-based computer, main frame, server, microcomputer, minicomputer, laptop, personal data assistant (PDA), cellular phone, pager, processor, including wireless and/or wireline varieties thereof, and/or any other computerized device capable of configuration for processing data for standalone application and/or over a networked medium or media.
  • Computers and computer systems disclosed herein may include operatively associated memory for storing certain software applications used in obtaining, processing, storing and/or communicating data. It can be appreciated that such memory can be internal, external, remote or local with respect to its operatively associated computer or computer system.
  • Memory may also include any means for storing software or other instructions including, for example and without limitation, a hard disk, an optical disk, floppy disk, ROM (read only memory), RAM (random access memory), PROM (programmable ROM), EEPROM (extended erasable PROM), and/or other like computer-readable media.
  • ROM read only memory
  • RAM random access memory
  • PROM programmable ROM
  • EEPROM extended erasable PROM

Abstract

Methods of monitoring computer equipment: the methods may comprise receiving a series of sensor readings from each of a plurality of computer equipment locations and generating a user interface. The user interface may comprise an indication of each of the plurality of computer equipment locations, and an indication of a condition derived from a first sensor reading for each of the plurality of computer equipment locations. The first sensor reading may be selected from the series of sensor readings. Also, the indications of the conditions may be expressed on a visual scale. The methods may also comprise animating the user interface to chronologically display for each of the plurality of computer equipment locations, indications of the conditions derived from each sensor reading selected from the series of sensor readings.

Description

    PRIORITY CLAIM
  • This application claims the benefit of U.S. Provisional Patent Application Ser. No. 61/065,935 filed on Feb. 15, 2008, which is incorporated herein by reference in its entirety.
  • STATEMENT UNDER 37 C.F.R. § 1.84(a)(2)
  • The patent or application file contains at least one drawing executed in color. Copies of this patent or patent application publication with color drawings will be provided by the Office upon request and payment of the necessary fee.
  • BACKGROUND
  • The present disclosure relates to systems and methods for managing computer equipment.
  • FIGURES
  • Embodiments of the present invention are described herein, by way of example, in conjunction with the following figures, wherein:
  • FIG. 1 illustrates one embodiment of a computer equipment management system;
  • FIG. 2 illustrates one embodiment of a management function that may be implemented by the system of FIG. 1;
  • FIG. 3 illustrates a diagram of one embodiment of a server room floor showing an example method of classifying components by floor position;
  • FIG. 4 illustrates a representation of one embodiment of an example cabinet for housing computer equipment;
  • FIG. 5 a illustrates one embodiment of a user interface for presenting temperature data to a user;
  • FIGS. 5 b and 5 c illustrate the interface of FIG. 5 a at animation points subsequent to the view shown in FIG. 5 a;
  • FIGS. 6 a, 6 b and 6 c illustrate the interface of FIG. 5 a configured to display current;
  • FIGS. 7 a, 7 b and 7 c illustrate the interface of FIG. 5 a configured to display power consumption;
  • FIG. 8 illustrates a cross-sectional diagram of one embodiment of a cooling configuration in an example server room;
  • FIG. 9 illustrates a top view diagram of one embodiment of the server room of FIG. 8;
  • FIG. 10 illustrates one embodiment of a user interface for receiving and presenting the results of calculations involving temperature variables;
  • FIG. 11 illustrates a user interface showing the server floor of FIG. 3 and illustrating the affected units resulting from a failure of an example power tower;
  • FIG. 12 illustrates one embodiment of a process flow for handling placing; and
  • FIG. 13 illustrates one embodiment of a user interface showing an alert ticket.
  • DESCRIPTION
  • Various embodiments are directed to systems and methods for managing computer equipment. Computer equipment may include any type of equipment used by a computer or computer system including, for example, processing components such as servers, and networking components such as switches, routers, etc., power components and even cooling units. The computer equipment may be housed in one or more dedicated server rooms or other similar facilities, where some equipment may be positioned on racks or in cabinets.
  • FIG. 1 illustrates one embodiment of a computer equipment management system 100. The system 100 may comprise computer equipment 112 as well as various other components for supporting the equipment 112 and implementing management functions. It will be appreciated that all of the components of the system 100 may be generally referred to as computer equipment. According to various embodiments, computer equipment 112 may be housed in a plurality of cabinets 102 positioned within one or more server rooms. In addition to computer equipment 112, each cabinet 102 may comprise one or more Cabinet Distribution Units (CDU's) 114 for managing power provided to the computer equipment 112 and one or more temperature probes 116. For example, each cabinet 102 may include a first temperature probe 116 near its top and a second temperature probe 116 near its bottom. Also, for example, each cabinet 102 may have at least one temperature probe on its inlet side and at least one temperature probe on its outlet side relative to the direction of cooling fans. In some embodiments, additional temperature probes (not shown) may be positioned outside of the cabinets 102 to measure ambient temperature conditions. According to various embodiments, the CDU's 114, probes 116 and equipment 112 may be configured to communicate with other components of the system 100 over the network 118.
  • One or more cooling units 104 may be present in each server room and may be utilized to dissipate heat generated by the computer equipment 112, keeping the server room or rooms cool. Cooling units 104 may include one or more Computer Room Air Conditioners (CRAC's). Some cooling units 104 may be configured to provide operational data and/or receive configuration data over the network 118. Various power components 106 configured to manage power delivered to the various cabinets 102, may be positioned inside or outside of the server room or rooms. For example, power components 106 may include circuit breakers, power distribution units (PDU's), cabinet distribution units (CDU's), manual transfer switches (MTS's), static transfer switches (STS's), and/or other power conditioning equipment. Some power components 108 may also be configured to provide operational data and/or receive configuration data over the network 118. Power components 106 may be housed at any suitable locations including, within cabinets (e.g., CDU's 114), in walls, in stand-alone towers, etc.
  • User machines 108 may be utilized by various users to provide input regarding the management of the computer equipment 112 and also to receive results of various management functions. User machines 108 may include any suitable type of input/output device including, for example, desktop computers, laptop computers, palm computers, cellular phones, etc. The network 118 may be any suitable wired, wireless or mixed network. For example, the network 118 may comprise one or more local area networks (LAN's), one or more wide area networks (WAN's) or combinations thereof.
  • The system 100 may comprise a server 110 for implementing management functions, for example, as described herein below. The server 110 may include one or more devices having processing capacity (e.g., at least one processor or equivalent hardware). Devices making up the server 110 (e.g., computer equipment) may, but need not be stored at a common location. For example, devices making up the server 110 may be located in the server room or rooms. The server 110 may also communicate over the network 118. For example, the server 110 may receive operational data from various components such as, CDU's 114, temperature probes 116, cooling units 104, power components 108 and other management systems (not shown). Also, in some embodiments, the server 110 may provide configuration data to various system components, allowing the server 110 to control the operation of these components.
  • The server 110 may implement various management functions for managing the computer equipment 112. For example, FIG. 2 illustrates one embodiment of a management module 200 that may be implemented by the server 110 to manage computer equipment 112. The management module 200 may comprise various functional sub-modules including, for example, a control module 202 and various environmental monitoring modules 204. The environmental monitoring modules 204 may monitor environmental conditions in the server room or rooms. These conditions may be monitored directly (e.g., utilizing sensors such as temperature probes 116) or may be derived from other factors, as described herein below. Depending on the application, results of environmental monitoring may be provided to the control module 202 in real-time, or may be cataloged for future use. Not every implementation of the system 100 and the module 200 will include all of the environmental monitoring modules 204 shown. Some may have different combinations of modules 204 and may include additional modules (not shown) as well.
  • A location module 214 may monitor the physical location of each component of the system 100. For example, the location of a given component may be recorded by building, room, and floor position. It will be appreciated that the location module 214 may describe the floor position of system components in any suitable way. For example, any suitable classification or coordinate system may be used. FIG. 3 illustrates a diagram of one embodiment of a server room floor 300 showing an example method of classifying components by floor position. The server room floor 300 is divided into a coordinate system, and each cabinet 102, power components 106, cooling unit 104, etc. is classified by a set of coordinates. As shown in FIG. 3, the coordinate system is described by numeric values on a horizontal axis 303 and alphabetical values on a vertical axis 301. According to various embodiments, the floor 300 may be further sub-divided into a series of zones, with each zone comprising a set of coordinate values. For example, zone 308 comprises three rows of cabinets 102, four cooling units 104 and power components 106. Other example zones, 310, 312, 314 are shown, and it will be appreciated that still other zones may be included, depending on the size and configuration of the floor 300.
  • According to various embodiments, the physical location of various computer equipment 112 may be further specified, for example, by cabinet position. FIG. 4 illustrates a representation of one embodiment of an example cabinet 400 for housing computer equipment. The vertical position of computer equipment within the cabinet 400 may be expressed in Rack Mount Units (RMU's). For example, the cabinet 400 comprises 42 RMU's, which are numbered 1-42. Each piece of computer equipment may be assigned to one or more RMU's. For example, computer equipment ZPPNTD071-D071 is positioned at RMU 15-18. Some pieces of computer equipment take up the full-width of the cabinet 400. Computer equipment that does not take up the full width of the cabinet 400 (e.g., switches, network ports, blade servers, etc.) may be also classified by horizontal position.
  • The location module 214 may track the location of system components, for example, by receiving an initial characterization of a system component location and subsequent indications of changes in the location of the system component. For example, when a system component is initially placed, its location may be recorded. When a system component is moved, this may also be recorded. In some embodiments, as described below, the location of any given system component will be determined by the control module 202. According to various embodiments sensors may be used to determine the physical location of various components (radio frequency identification (RFID) sensors, etc.). The measured location may then be sent to the location module 214.
  • Referring back to FIG. 2, a temperature module 206 may monitor the temperature at various locations within a server room as well as, for example, the status of various cooling units 104. For example, the temperature module 206 may receive and record readings from the temperature probes 116. An airflow module 205 may monitor the airflow and related characteristics. A power monitoring module 208 may monitor power-related signals from system 100 equipment. For example, the current drawn on all three phases of a CDU 114 or other power components 106 may be monitored. A weight monitoring module 212 may also be included. The weight monitoring module 212 may derive or be pre-programmed with the location of structural components (e.g., floor beams) as well as the locations of various computer equipment. The weight monitoring module 212 may compute, or assist the control module 202 in computing, an assessment of the best location for a new piece of computer equipment, for example, based on the location of existing equipment and the location of structural features such as floor beams.
  • The control module 202 may utilize the environmental readings provided by the environmental monitoring modules 204 to perform various management functions for the computer equipment 112. For example, the control module 202 may determine the physical placement of computer equipment 112 within a server room and/or within a given cabinet 102, as described herein. Also, the control module 202 may detect failures or other anomalies of the computer equipment 112 and/or various support equipment (e.g., CDU's 114, temperature probes 116, cooling units 104, power components 106, etc.), as described herein. Once a failure or anomaly is detected, the control module 202 may take action to correct the problem, or provide support information to a technician, who may then fix the problem. In addition, the control module 202 may provide and/or set values for controllable factors to achieve desired environmental conditions. For example, as described herein, air flow characteristics may be manipulated to achieve a desired cooling profile.
  • According to various embodiments, the control module 202 may include functionality for providing a user interface including graphical representations of environmental conditions. FIG. 5 a illustrates one embodiment of a user interface 500 for presenting temperature data to a user. Temperature data may be received from and/or aggregated by the temperature module 208.
  • The interface 500 comprises a field 502 showing a graphical representation of all or a portion of a server room. For example, the field 502 may illustrate a zone of a server room comprising three rows 504 of cabinets along with cooling units 506. Each of the cabinets shown at the field 502 may be colored to indicate its temperature. Although the temperature of cabinets is indicated, it will be appreciated that any other computer equipment location may be described. Any suitable color scheme or scale may be used. In the embodiment shown, cool to hot temperatures are indicated on a continuum from dark blue to dark red, with white indicating temperatures between blue and red. Also, any other suitable visual scale may be used. For example, different shapes or blink rates may be used to indicate different temperatures.
  • The field 502 may also show a numerical indication of temperature 508 on each cabinet. The temperatures displayed at the field 502 (e.g., the numerical temperatures and/or the temperatures indicated by color) may be absolute temperatures or relative temperatures. For example, the temperature for each cabinet may be normalized by comparison to other cabinets in the same row, or other cabinets in the displayed zone. The interface 500 may also include a chart field 510 showing temperature over time. For example, as shown in FIG. 5 a, the chart field 510 illustrates the zone average temperature over an eight hour period. A time line 511 may indicate which portion of the graph is illustrated at field 502.
  • According to various embodiments, the interface 500 may be configured to display an animation of temperature data over time. The environmental monitoring modules 204 may receive a chronological series of data from each cabinet 102 or other computer equipment location. The interface 500 may be animated by chronologically displaying data from each of the cabinets 102. For example, FIGS. 5 a, 5 b and 5 c illustrate shots in an animation sequence. The number of shots in any given animation may depend on the sampling rate (e.g., frequency of the series) and the desired length of the sequence in real time. The user may navigate through the animation, for example, utilizing buttons 532. Selecting button 534 may cause the animation to begin.
  • The interface 500 may include additional inputs allowing a user to customize an animation. The Settings field 508 may allow the user to enter additional parameters that may relate to the static display of the interface 500 as well as to a desired animation. For example, the user may select the a site and zone to be displayed at inputs 512 and 514. The desired duration of an animation in real time may be entered at input 516. The desired environmental factor (e.g., temperature, current draw, etc.) may be entered at input 518. Manipulating input 520 may allow the user to specify how temperature or other data is to be presented. For example, as illustrated, the temperature (e.g., color) of each cabinet is illustrated based on its deviation from the average temperature of other cabinets in the same row 504. Sensor location input 524 may allow the user to determine which sensors, or combinations of sensors, will have their output displayed. For example, as shown in FIG. 5, the sensors at the top of the various cabinets have been selected. In other embodiments, sensors located at other various places could be selected, as well as combinations of the outputs of multiple sensor locations. Inputs 526 and 528 allow the user to specify an ending date and time for the animation. Input 550 may allow a user to recall a saved animation event. An animation delay field 529 may allow the user to select a desired delay between frames in the animation.
  • FIGS. 6 a, 6 b and 6 c illustrate the interface 500 configured to display current drawn by the cabinets. Current data may be collected and/or aggregated by the power monitoring module 208. The color of each cabinet may indicate an amount of current drawn, again with a continuum of dark blue to white to dark red indicating increasing current. Current draw may also be animated in a manner similar to that described above. For example, FIGS. 6 a, 6 b and 6 c illustrate sequential shots during an animation.
  • FIGS. 7 a, 7 b and 7 c illustrate the interface of 500 configured to display power consumption. Power consumption data may be collected and/or aggregated by the power monitoring module 208. For example, power consumption data may be derived from current data and the voltage level of various components, which may be assumed constant. As with temperature and current data, power consumption data may be animated as described above. FIGS. 7 a, 7 b and 7 c illustrate sequential shots during an animation. It will be appreciated that animations for additional environmental parameters may be generated in a similar manner.
  • Animation of computer equipment data, as illustrated in FIGS. 5 a-c, 6 a-c, and 7 a-c has produced several unpredicted and unexpected results. For example, upon implementing the animation of temperature data, as shown in FIGS. 5 a-c, the inventors discovered a potentially harmful problem with their cooling units. Viewing an animation of cabinet temperature by zone, as shown by the interface 500 the inventors discovered that the average zone temperature was periodically rising by as many as 4° F. per hour. Individual cabinet temperatures were rising by 10-12° F. during the same time period. The zone and individual cabinet temperatures would then drop back to standard levels. Because these events took place over a limited amount of time, they were not captured by existing, manual methods for temperature monitoring. The animation prompted the inventors to investigate the operation of their cooling units and discover that all of the cooling units were cycling off at the same time. While all of the cooling units were cycled off, the temperature in the zone rose quickly until the cooling units came back on-line. Upon modifying the cycling properties of the cooling units, this anomaly disappeared.
  • In another example, an animation of cabinet temperature by zone revealed a single cabinet with a temperature significantly higher than its neighbors. The inventors inspected the cabinet and found that a piece of computer equipment had been installed backwards, causing all of the other equipment in the cabinet to heat up. In yet another example, viewing an animation allowed the inventors to notice that a single cabinet had increased in temperature relative to its neighbors by 15° F. Upon inspection of the cabinet, the inventors realized that temperature probes in the cabinet had been misplaced. In still another example, viewing a temperature animation allowed the inventors to detect the failure of a cooling unit due to a coolant interruption.
  • According to various embodiments, the control module 202 may also include functionality for modeling and manipulating the environmental profile of a server room. Before discussing this functionality in detail, a description of an example server room cooling configuration is provided. FIG. 8 illustrates a cross-sectional diagram of one embodiment of a cooling configuration in an example server room 800. The diagram shows two cabinets 102 and a cooling unit 104, which may be a computer room air conditioner or (CRAC). The cabinets 102 may house computer equipment 112 as shown. Aisles 806, 808 between the cabinets may be classified as cold aisles 808 and hot aisles 806. FIG. 9 illustrates a top view diagram of one embodiment of the server room 800. Four rows 902 of cabinets 102 are shown separated by cold aisles 808 and hot aisles 806.
  • To cool the server room 800, the cooling unit 104 may generate cold air, which is blown under the floor 812. As a result, static pressure under the floor 812 causes the cold air to flow up through perforated tiles 814 positioned in the floor 812 under the cold aisles 808. The cold air may be pulled through the cabinets 102 and devices 112, for example, by cooling fans located in the cabinets 102 and/or the devices 112. As the cold air is pulled through the devices 112, it cools the devices and, as a result, heats up. The now hot air emerges on the opposite side of the cabinets 112 into a hot aisle 806. The hot air either rises or is pulled by fans into a hot air return vents in the ceiling over the hot aisles 806. The hot air return vents channel the hot air back to the cooling unit 104, where the cycle begins again.
  • According to various embodiments, the control module 202 may be programmed with functionality for managing the airflow characteristics of the server room 800. For example, the airflow module 205 may monitor and/or estimate various airflow/cooling related factors including, for example, the number, type and placement of perforated tiles 814, the static pressure generated below the floor 814, and the difference in temperature between hot aisles 806 and cold aisles 808 (delta T). In various embodiments, the number, type and placement of perforated tiles 814 may be entered by a user, or may be monitored based on previous placement recommendations. The static pressure generated below the floor 814 may be actively monitored by sensors in communication with the management module 200, or may be received from a user based on periodic manual measurements. It will be appreciated that the static pressure may not be constant under the entire floor 814, but may vary based on, for example, distance from the cooling units 104, obstructions under the floor 814, etc. The delta T may be actively monitored by temperature probes in communication with the management module 200, may be received from a user based on periodic manual measurements, or may be derived based on other variables.
  • The control module 202 may manipulate and/or recommend changes to the airflow characteristics of the server room 800 in order to achieve adequate cooling and/or peak efficiency. For example, the airflow characteristics may be generally described by Equation (1) below:
  • airflow power delta T ( 1 )
  • Airflow may be derived from the static pressure under the floor 812 as well as the number and type of perforated tiles 814. Power may be the power dissipated by the equipment 112 present in the server room 800, as measured by the power module 208 (e.g., by monitoring current draw). Delta T may be a function of various factors including, the cooling characteristics of equipment actually present in the server room 800. According to various embodiments, delta T may be multiplied by a constant c, which may be equal to 0.317. It will be appreciated that airflow characteristics may be monitored and/or manipulated for the server room 800 as a whole, or for various sub-units thereof (e.g., zones, rows, cabinets.) If the airflow characteristics of a larger area are being monitored, then the various airflow characteristics may be aggregated according to any suitable method (e.g., average, etc.).
  • Utilizing the relationship between these airflow characteristics (e.g., Equation 1), the control module 202 may be programmed to calculate optimum values for each. The control module 202 may then either program the various equipment according to these values, or provide the values to a technician or other personnel who may implement them manually. FIG. 10 illustrates one embodiment of a user interface 1000 for receiving and presenting the results of calculations involving airflow characteristics. Field 1002 illustrates a curve showing delta T versus airflow in a zone of the server room 800 assuming a given power dissipation in the zone. As shown, airflow is expressed in units of cubic feet per minute (CFM). Vertical line 1004 indicates an expected delta T, which may be based on industry standards, set by the user or calculated by the control module 202 to optimize the values of other airflow characteristics. Horizontal line 1006 indicates the airflow necessary to bring about the expected delta T, given the zone power dissipation. Horizontal line 1008 indicates the airflow actually being delivered to the zone (e.g., the delivered airflow). A numerical value for actual airflow may also be provided, as shown at field 1010.
  • If the expected and actual values for airflow and/or delta T do not match, the control module 202 may calculate and display values for various controllable environmental factors to remedy the situation. For example, a difference between actual and target airflow may be indicated at field 1012. In the scenario illustrated by FIG. 10, this difference is a deficit, indicating that the actual airflow 1008 is low. Recommended actions for solving a deficit or surplus of airflow may be presented at fields 1014 and 1016. In the example shown, the recommended remedy includes adding four perforated tiles 814 to the server room 800 at the locations indicated at field 1016. For example, if the amount of airflow is to be increased, the recommended location for new perforated tiles may be close to the hottest cabinets of the zone. On the other hand, if the amount of airflow is to be decreased, the recommended locations for removing perforated tiles may be near cabinets that are relatively cool.
  • Various other actions may be recommended by the control module 202 to remedy a surplus or deficit of airflow. For example, the control module 202 may recommend that the cooling units 104 be manipulated to increase or reduce the static pressure under the floor 812, thus increasing or decreasing airflow. Also, for example, the cooling units 104 may recommend that certain equipment 112 be moved from the zone, thus reducing dissipated power.
  • According to various embodiments, the control module 202 may receive adjustments to some or all of the variables described above via the interface 1000. For example, at field 1018, a user may provide an adjusted expected delta T. At field 1020, the user may indicate a change in the airflow supported by each perforated tile. At field 1022, the user may indicate a change in the power dissipated by the relevant zone. These adjustments may be considered by the control module 202 in performing calculations, as described above.
  • According to various embodiments, the control module 202 may be configured to implement corrections automatically rather that merely making recommendations to a user. For example, some perforated tiles 814 may have adjustable openings that may be manipulated by a servo or other motor. The control module 202 may communicate with the various servos over the network 118 to individually manipulate the airflow at each perforated tile. Also, the control module 202 may be in communication with the various cooling units 104 or other cooling units 104, allowing the control module 202 to manipulate the static air pressure and/or air temperature.
  • According to various embodiments, the control module 202 may also include functionality for performing power failure analyses. For example, the control module 202 may derive the computer equipment 112 that would be affected by a failure of a given CDU 114 or power components 106. This may be accomplished in any suitable way. For example, the control module 202 may maintain a database setting forth the power connectivity of each piece of computer equipment 112. Modeling the failure of a CDU 114 or power components 106 may involve listing all of the equipment 112 that is connected directly or indirectly to the failed unit.
  • The criticality of any given dependence may also be found. For example, some CDU's 114 and/or power components 106 may be backed up with an Uninterruptible Power Supply (UPS), while other CDU's 114 and/or power components 106 may be backed up by a typical normal/emergency (N/E) feeder. (It will be appreciated that many pieces of computer equipment 112 may be dual corded, allowing them to derive power from more than one CDU 114 and even more than one set of power components 106.) In the event of a power failure, equipment 112 deriving power from a UPS CDU 114 or power components 106 may stay up while generator power is implemented. On the other hand, equipment 112 deriving power solely from an N/E CDU 114 or power components 106 may momentarily go down until generator power is implemented. Accordingly, the failure of a UPS CDU 114 or power components 106 may be considered more critical than the failure of an N/E CDU 114 or power components 106.
  • According to various embodiments, the control module 202 may be configured to present the results of a power failure analysis graphically. For example, referring back to FIG. 3, the diagram of the server floor 300 may be modified to illustrate only those cabinets 102 and other units that are affected by the failure of a power device 114, 106. For example, FIG. 11 illustrates a user interface showing the server floor 300 and illustrating the affected units 1102 resulting from a failure of example power components 106. According to various embodiments the criticality of the failure of a given affected unit 1102 may be indicated by its color or other visual indication. For example, affected units 1102 having one or more UPS CDU's 114 or other power sources still in operation may be least critical and may be assigned a first color or visual indication. Affected units 1102 having only N/E CDU's 114 or other power sources still available may be more critical and may be assigned a second color or visual indication. Affected units with no CDU's or power sources still available may be most critical and may be assigned a third color or visual indication. It will be appreciated that affected units 1102 may be found and indicated at the cabinet level, or at the individual equipment 112 level.
  • According to various embodiments, the control module 202 may also include functionality for placing equipment 112 on a server floor. FIG. 12 illustrates one embodiment of a process flow 1200 for placing equipment on a server floor, such as the server floor 300. At box 1202, the control module 202 may receive a reservation request. The reservation request may specify the type of equipment 112 to be placed. Additional information regarding the equipment 112 to be placed may be either included with the reservation request or derived from the equipment type. Examples of such additional information may include, the height of the equipment in RMU's, the width of the equipment, the power dissipation of the equipment, the weight of the equipment, whether the equipment is single or dual-corded, etc. Reservation requests may be entered manually and/or generated automatically in anticipation of future need.
  • At box 1204, the control module 202 may identify portions of the server floor that have sufficient power capacity to handle the equipment 112 to be placed. It will be appreciated that each zone 308, 310, 312, 314 or other sub-unit of the server floor 300 may be designed with a given power capacity. The power capacity of a zone may be determined based on various factors including, for example, the number and/or capacity of cooling units 104, the heat capacity of equipment 112, etc. Different zones may have different power capacities. In some embodiments, the control module 202 may be configured to leave a safety margin in each zone (e.g., twenty percent of the total capacity). For example, a zone with a power capacity of 150 kW/ft2 may not be considered to have excess capacity unless it is dissipating fewer than 135 kW/ft2.
  • The control module 202 may determine whether a zone has sufficient power capacity to accept the equipment 112 to be placed by comparing its present power dissipation with its capacity power dissipation as well as the power dissipation of the equipment 112. For example, if the sum of the present power dissipation and the power dissipation of the equipment 112 to be placed is less than the capacity, then the zone may have sufficient capacity to accept the equipment 112.
  • According to various embodiments, some zones may include equipment 112 with variable power requirements. For example, a server running multiple virtual machine-type instances may dissipate power at a rate proportional to its processing load. Examples of software packages that may cause a server to dissipate power based on its processing load include, for example, VMWARE and Oracle VM virtual machine software for INTEL compatible platforms, M-SERIES software for SUN SPARCSTATION platforms, etc. One example variable power server may dissipate between 500 kW and 1000 kW, depending on load. The control module 202 may be configured to consider equipment 112 with variable power requirements when calculating both the existing power dissipation of a zone and the power dissipation of the equipment 112 to be placed. According to various embodiments, variable power requirement equipment may be considered to always dissipate at its maximum dissipation, regardless of its present state. This may prevent zones from exceeding their power capacity as the power dissipation of variable equipment changes. According to other various embodiments, the historical power dissipation of variable dissipation equipment may be analyzed to determine an expected maximum dissipation for the equipment. The equipment may then be considered to dissipate at the expected maximum, again regardless of present state. Any other suitable method may be used to account for computer equipment with variable power requirements.
  • In addition to zone-level power capacity requirements, the control module 202 may also consider cabinet level requirements. For example, each cabinet 102 may have a maximum power capacity based, for example, on the power capacity of the zone and any other characteristics specific to the cabinet (e.g., cooling characteristics, CDU 114 limitations, etc.). For example, the maximum power capacity of a cabinet 102 may be set to the power capacity of its zone divided by the number of cabinets therein.
  • At box 1206, the control module 202 may identify cabinets 102 that have free physical space sufficient to house the equipment 112 to be placed. The cabinets identified at box 1206 may be within the zone or zones identified at box 1204. Each piece of equipment 112 to be placed may require a given number of contiguous RMU's for placement. For example, referring to FIG. 4, the cabinet 400 comprises free space between RMU's 25 and 28. Accordingly, it has free physical space sufficient to house computer equipment 112 up to four RMU's in height and no more than one cabinet width in width.
  • At box 1208, the control module 202 may assign the equipment 112 to be placed to an identified space in a cabinet 102, for example, based on the results of boxes 1204 and 1206. According to various embodiments, the control module 202 may also consider weight factors. For example, the control module 202 may have access to diagrams of the structural components of the floor 300, or an indication of the weight capacity of different portions of the floor 300. The control module 202 may also have access to the weight of various components placed on the floor 300 as well as the weight of the equipment 112 that is the subject of the reservation request. Accordingly, the control module 202 may perform an analysis to determine whether placement of the equipment 112 that is the subject of the reservation request would exceed the weight capacity of the floor 300 or any portion thereof.
  • According to various embodiments, the control module 202 may also include functionality for detecting and reporting anomalous events in the system 100. For example, the control module 202 may monitor operational parameters of the equipment 112, CDU's 114, cooling units 104, power components 106 and other components of the system 100. Anomalous events may include any kind of event that is out of the ordinary or may signal a problem. For example, the loss of power to a CDU 114 or other component may be an anomalous event. Also, for example, a failure of output from a cooling unit 104, piece of computer equipment 112, or other system component may be an anomalous event. Other anomalous events may be based on parameter thresholds. For example, a cabinet 102 or zone may trigger an anomalous event if its temperature and/or current draw exceeds a given threshold.
  • Upon detection of an anomalous event, the control unit 202 may prepare an alert ticket comprising an interface presenting information describing the event. The alert ticket may then be routed to appropriate personnel. For example, if the anomalous event is regarding a particular type of computer equipment, the alert ticket may be routed to a technician with responsibility for power components. Also, for example, if the anomalous event is related to a particular zone, floor, or other unit of a server facility, then the alert ticket may be routed to a technician with responsibility for the zone, floor or other server facility unit.
  • According to various embodiments the alert ticket may present multiple functionalities in a single interface. For example, FIG. 13 illustrates one embodiment of a user interface 1300 showing an alert ticket. The interface 1300 may comprise a field 1104 indicating a ticket number, the affected system component and the nature of the problem. For example, the ticket shown by interface 1300 is regarding the loss of power to a CDU 114.
  • The interface 1300 may also include an environmental field 1106 including environmental information that may be sensed or derived from various temperature probes 116, CDU's 114 and other sensors, for example, as described herein. An animation field 1308 may display an animation of temperature, current, power or some other variable, for example, as described above with respect to FIGS. 5 a-c, 6 a-c and 7 a-c. Various other information may be included in the interface 1300 including, for example, a power impact analysis based on the system component that caused the anomalous event.
  • According to various embodiments, the specific functionalities presented by a single alert ticket may be determined based on a recipient of the alert ticket. For example, an alert ticket sent to a technician may include rich information describing the anomaly in a high level of detail. For example, animations and power impact analyses may be presented at the cabinet or even the individual component level. On the other hand, an alert ticket sent to a server room manager or other administrator may include more general, high-level information. For example, animations and power impact analyses may be presented at the zone or even server room level.
  • As used herein, a “computer” or “computer system” may be, for example and without limitation, either alone or in combination, a personal computer (PC), server-based computer, main frame, server, microcomputer, minicomputer, laptop, personal data assistant (PDA), cellular phone, pager, processor, including wireless and/or wireline varieties thereof, and/or any other computerized device capable of configuration for processing data for standalone application and/or over a networked medium or media. Computers and computer systems disclosed herein may include operatively associated memory for storing certain software applications used in obtaining, processing, storing and/or communicating data. It can be appreciated that such memory can be internal, external, remote or local with respect to its operatively associated computer or computer system. Memory may also include any means for storing software or other instructions including, for example and without limitation, a hard disk, an optical disk, floppy disk, ROM (read only memory), RAM (random access memory), PROM (programmable ROM), EEPROM (extended erasable PROM), and/or other like computer-readable media.
  • While several embodiments of the invention have been described, it should be apparent that various modifications, alterations and adaptations to those embodiments may occur to persons skilled in the art with the attainment of some or all of the advantages of the present invention. It is therefore intended to cover all such modifications, alterations and adaptations without departing from the scope and spirit of the present invention.

Claims (22)

1. A computer-implemented method of monitoring computer equipment, the method comprising:
receiving with a server a series of sensor readings from each of a plurality of computer equipment locations;
generating a user interface with the server, wherein the server comprises operatively associated memory comprising computer-readable instructions for implementing the user interface and, wherein the user interface comprises:
an indication of each of the plurality of computer equipment locations; and
an indication of a condition derived from a first sensor reading for each of the plurality of computer equipment locations, wherein the first sensor reading is selected from the series of sensor readings, and wherein the indications of the conditions are expressed on a visual scale; and
animating the user interface with the server, wherein the animating comprises chronologically displaying for each of the plurality of computer equipment locations, data indicating the conditions that is derived from each sensor reading selected from the series of sensor readings.
2. The method of claim 1, wherein the plurality of computer equipment locations comprise a computer equipment cabinet.
3. The method of claim 1, wherein the plurality of computer equipment locations comprise at least one location selected from the group consisting of a location of a power component, and a location of a cooling unit.
4. The method of claim 1, wherein the condition is at least one condition selected from the group consisting of a temperature, a current and a power.
5. The method of claim 1, further comprising normalizing the condition over the plurality of computer equipment locations.
6. The method of claim 5, wherein normalizing the condition comprises comparing the condition at each of the plurality of computer equipment locations to an average value of the condition over all of the plurality of computer equipment locations.
7. The method of claim 1, further comprising receiving a range of time for the series of sensor readings from a user.
8. The method of claim 1, wherein the range comprises a start time, an end time and a sampling rate.
9. The method of claim 1, further comprising storing the series of sensor readings at a data storage location.
10. The method of claim 1, wherein the user interface further comprises a chart field comprising an indication of the condition over time.
11. The method of claim 1, further comprising receiving the plurality of equipment locations from a user.
12. The method of claim 1, wherein the visual scale is a color scale comprising a plurality of shades, wherein each shade corresponds to a value of the condition.
13. The method of claim 1, further comprising receiving from a user an indication of at least one sensor location at the computer equipment locations.
14. The method of claim 1, further comprising receiving from a user an indication of the condition.
15. The method of claim 1, wherein the user interface further comprises a numerical indication of the condition derived from the first sensor reading for each of the plurality of computer equipment locations.
16. A system for monitoring computer equipment, the system comprising a server comprising at least one processor and operatively associated memory having instructions thereon that when implemented by the server, cause the sever to:
receive a series of sensor readings from each of a plurality of computer equipment locations;
generate a user interface, wherein the user interface comprises:
an indication of each of the plurality of computer equipment locations; and
an indication of a condition derived from a first sensor reading for each of the plurality of computer equipment locations, wherein the first sensor reading is selected from the series of sensor readings, and wherein the indications of the conditions are expressed on a visual scale; and
animate the user interface, wherein the animating comprises chronologically displaying for each of the plurality of computer equipment locations, indications of the conditions derived from each sensor reading selected from the series of sensor readings.
17. The system of claim 16, wherein the condition is at least one condition selected from the group consisting of a temperature, a current and a power.
18. The system of claim 1, wherein the memory further comprises instructions that cause the server to normalize the condition over the plurality of computer equipment locations.
19. The system of claim 18, wherein normalizing the condition comprises comparing the condition at each of the plurality of computer equipment locations to an average value of the condition over all of the plurality of computer equipment locations.
20. The system of claim 1, wherein the visual scale is a color scale comprising a plurality of shades, wherein each shade corresponds to a value of the condition.
21. A computer readable medium having instructions thereon that when executed by at least one processor, cause the at least one processor to:
receive a series of sensor readings from each of a plurality of computer equipment locations;
generate a user interface, wherein the user interface comprises:
an indication of each of the plurality of computer equipment locations; and
an indication of a condition derived from a first sensor reading for each of the plurality of computer equipment locations, wherein the first sensor reading is selected from the series of sensor readings, and wherein the indications of the conditions are expressed on a visual scale; and
animate the user interface, wherein animating the user interface comprises chronologically displaying for each of the plurality of computer equipment locations, indications of the conditions derived from each sensor reading selected from the series of sensor readings.
22. A system for monitoring computer equipment, the system comprising:
means for receiving a series of sensor readings from each of a plurality of computer equipment locations;
means for generating a user interface, wherein the user interface comprises:
an indication of each of the plurality of computer equipment locations; and
an indication of a condition derived from a first sensor reading for each of the plurality of computer equipment locations, wherein the first sensor reading is selected from the series of sensor readings, and wherein the indications of the conditions are expressed on a visual scale; and
means for animating the user interface with the server, wherein the animating comprises chronologically displaying for each of the plurality of computer equipment locations, data indicating the conditions that is derived from each sensor reading selected from the series of sensor readings.
US12/378,462 2008-02-15 2009-02-13 Systems and methods for computer equipment management Abandoned US20090210813A1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
US12/378,462 US20090210813A1 (en) 2008-02-15 2009-02-13 Systems and methods for computer equipment management

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US6593508P 2008-02-15 2008-02-15
US12/378,462 US20090210813A1 (en) 2008-02-15 2009-02-13 Systems and methods for computer equipment management

Publications (1)

Publication Number Publication Date
US20090210813A1 true US20090210813A1 (en) 2009-08-20

Family

ID=40780200

Family Applications (4)

Application Number Title Priority Date Filing Date
US12/378,462 Abandoned US20090210813A1 (en) 2008-02-15 2009-02-13 Systems and methods for computer equipment management
US12/378,429 Active 2030-11-09 US8437881B2 (en) 2008-02-15 2009-02-13 Systems and methods for computer equipment management
US12/378,414 Active 2029-08-22 US8201028B2 (en) 2008-02-15 2009-02-13 Systems and methods for computer equipment management
US12/378,424 Active 2029-09-15 US8175753B2 (en) 2008-02-15 2009-02-13 Systems and methods for computer equipment management

Family Applications After (3)

Application Number Title Priority Date Filing Date
US12/378,429 Active 2030-11-09 US8437881B2 (en) 2008-02-15 2009-02-13 Systems and methods for computer equipment management
US12/378,414 Active 2029-08-22 US8201028B2 (en) 2008-02-15 2009-02-13 Systems and methods for computer equipment management
US12/378,424 Active 2029-09-15 US8175753B2 (en) 2008-02-15 2009-02-13 Systems and methods for computer equipment management

Country Status (3)

Country Link
US (4) US20090210813A1 (en)
CA (3) CA2718733C (en)
WO (1) WO2009102977A2 (en)

Cited By (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110083094A1 (en) * 2009-09-29 2011-04-07 Honeywell International Inc. Systems and methods for displaying hvac information
CN102169527A (en) * 2010-02-26 2011-08-31 国际商业机器公司 Method and system for determining mounting machine frame for equipment in data center
US20120313963A1 (en) * 2011-06-13 2012-12-13 International Business Machines Corporation Enhanced Asset Management and Planning System
US20130110943A1 (en) * 2011-11-02 2013-05-02 Apple Inc. Notification and reminder generation, distribution, and storage system
US20130198576A1 (en) * 2010-11-29 2013-08-01 Nec Corporation Display processing system, display processing method, and program
US20140049402A1 (en) * 2012-08-20 2014-02-20 Honeywell International Inc. Providing a diagnosis of a system of a building
US20140068445A1 (en) * 2012-09-06 2014-03-06 Sap Ag Systems and Methods for Mobile Access to Enterprise Work Area Information
US20150121235A1 (en) * 2013-10-31 2015-04-30 Hon Hai Precision Industry Co., Ltd. Electronic device and method for managing servers
US9058583B2 (en) 2012-09-06 2015-06-16 Sap Se Systems and methods for mobile access to item information
JP5790662B2 (en) * 2010-11-29 2015-10-07 日本電気株式会社 Display processing system, display processing method, and program
USD748126S1 (en) * 2013-12-23 2016-01-26 Skyhigh Networks, Inc. Display screen with a graphical user interface for cloud usage analysis
CN106651077A (en) * 2015-11-04 2017-05-10 中兴通讯股份有限公司 Method and device for searching equipment storage position
US9754055B1 (en) * 2009-05-06 2017-09-05 Amdocs Software Systems Limited System, method, and computer program product for managing an area for positioning resources, based on parameters of the resources
CN107390521A (en) * 2017-06-27 2017-11-24 西安建筑科技大学 The method and test platform that a kind of optimal measuring point of air-conditioning system indoor temperature is asked for
USD820288S1 (en) * 2013-12-13 2018-06-12 Kbc Advanced Technologies Plc Display screen with graphical user interface
US11188214B2 (en) * 2020-03-31 2021-11-30 Schneider Electric It Corporation Systems and methods for determining liquid cooled architectures in an IT room

Families Citing this family (35)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101755495B (en) 2007-05-15 2013-10-16 美国能量变换公司 Methods and systems for managing facility power and cooling
WO2009154623A1 (en) * 2008-06-19 2009-12-23 Hewlett-Packard Development Company, L.P. Capacity planning
US9904331B2 (en) 2009-04-01 2018-02-27 Schneider Electric It Corporation Method for computing cooling redundancy at the rack level
US8572220B2 (en) * 2009-04-29 2013-10-29 Schneider Electric It Corporation System and method for managing configurations of NCPI devices
US8484510B2 (en) * 2009-12-15 2013-07-09 Symantec Corporation Enhanced cluster failover management
US20110257938A1 (en) * 2010-04-16 2011-10-20 William Eyers System and method for use in designing air intakes
US8845403B2 (en) 2010-05-18 2014-09-30 International Business Machines Corporation Individually cooling one or more computers in a rack of computers in a data center
US8233274B2 (en) 2010-07-21 2012-07-31 International Business Machines Corporation Computer chassis cooling sidecar
US8626346B2 (en) 2010-08-06 2014-01-07 International Business Machines Corporation Dynamically adjustable floor tile for a data center
US8270161B2 (en) 2010-08-06 2012-09-18 International Business Machines Corporation Hot or cold aisle computer chassis
US8812275B2 (en) * 2010-09-18 2014-08-19 International Business Machines Corporation Modeling movement of air under a floor of a data center
US20120123898A1 (en) * 2010-11-17 2012-05-17 International Business Machines Corporation Generating configuration options for a computing system
JP5525465B2 (en) * 2011-01-31 2014-06-18 アズビル株式会社 Air conditioner operation control apparatus and method
US20120242151A1 (en) * 2011-03-22 2012-09-27 Microsoft Corporation Data center topology with low sts use
US20120297319A1 (en) * 2011-05-20 2012-11-22 Christopher Craig Collins Solutions Configurator
US8824143B2 (en) * 2011-10-12 2014-09-02 International Business Machines Corporation Combined power and cooling rack supporting an electronics rack(S)
EP2791825B1 (en) * 2011-12-12 2017-06-21 Avocent Huntsville, LLC System and method for monitoring and managing data center resources in real time incorporating manageability subsystem
AU2011383606A1 (en) 2011-12-22 2014-07-17 Schneider Electric It Corporation System and method for prediction of temperature values in an electronics system
CN104137105B (en) 2011-12-22 2017-07-11 施耐德电气It公司 Impact analysis on temporal event to the temperature in data center
WO2014046677A1 (en) * 2012-09-21 2014-03-27 Schneider Electric It Corporation Method and apparatus for characterizing thermal transient performance
US10157245B2 (en) 2012-10-31 2018-12-18 Schneider Electric It Corporation System and method for fluid dynamics prediction with an enhanced potential flow model
EP2939176A4 (en) 2012-12-27 2016-07-27 Schneider Electric It Corp Systems and methods of visualizing airflow
GB2514833A (en) * 2013-06-07 2014-12-10 Ibm Portable computer monitoring
US9916535B2 (en) * 2013-06-28 2018-03-13 Server Technology, Inc. Systems and methods for predictive analysis
CN105378586A (en) * 2013-07-17 2016-03-02 惠普发展公司,有限责任合伙企业 Determine malfunction state of power supply module
US9697067B2 (en) * 2013-11-08 2017-07-04 Hitachi, Ltd. Monitoring system and monitoring method
US20150137939A1 (en) * 2013-11-19 2015-05-21 Martin Schwab Locking system and method for operating a locking system
US20170011312A1 (en) * 2015-07-07 2017-01-12 Tyco Fire & Security Gmbh Predicting Work Orders For Scheduling Service Tasks On Intrusion And Fire Monitoring
US9985842B2 (en) * 2015-10-30 2018-05-29 Vapor IO Inc. Bus bar power adapter for AC-input, hot-swap power supplies
US11076509B2 (en) 2017-01-24 2021-07-27 The Research Foundation for the State University Control systems and prediction methods for it cooling performance in containment
US10511238B2 (en) 2017-11-15 2019-12-17 Schneider Electric USA, Inc. Temperature-based diagnostics method for a starter island
US20190195525A1 (en) * 2017-12-21 2019-06-27 At&T Intellectual Property I, L.P. Method and apparatus for operating heating and cooling equipment via a network
WO2020096595A1 (en) 2018-11-07 2020-05-14 Hewlett-Packard Development Company, L.P. Receiving thermal data and producing system thermal grades
CN111481921B (en) * 2020-04-10 2023-06-13 网易(杭州)网络有限公司 Scheduling method, device, equipment and storage medium of cloud game instance
TWI777320B (en) * 2020-12-04 2022-09-11 神雲科技股份有限公司 Power consumption adjustment method and server

Citations (24)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5391084A (en) * 1994-03-11 1995-02-21 Chatsworth Products, Inc. Grounding assembly for electrical distribution panels
US5460006A (en) * 1993-11-16 1995-10-24 Hoshizaki Denki Kabushiki Kaisha Monitoring system for food storage device
US5806687A (en) * 1997-02-27 1998-09-15 Chatsworth Prod Inc Swinging gate rack
US5997117A (en) * 1997-06-06 1999-12-07 Chatsworth Products, Inc. Rack frame cabinet
US6128016A (en) * 1996-12-20 2000-10-03 Nec Corporation Graphic user interface for managing a server system
US6185098B1 (en) * 2000-01-31 2001-02-06 Chatsworth Products, Inc. Co-location server cabinet
US6394398B1 (en) * 2000-06-22 2002-05-28 Chatsworth Products, Inc. Modular inter-cabinet horizontal cable support apparatus
US20020104323A1 (en) * 2001-02-02 2002-08-08 Logis-Tech, Inc. Environmental stabilization system and method for maintenance and inventory
US20020161885A1 (en) * 1999-10-27 2002-10-31 Netbotz Inc. Methods for displaying physical network topology and environmental status by location, organization, or responsible party
US6489565B1 (en) * 2000-09-15 2002-12-03 Chatsworth Products, Inc. Vertical cable management rack
US20020189267A1 (en) * 2001-05-03 2002-12-19 Abtar Singh System for remote refrigeration monitoring and diagnostics
US6501020B2 (en) * 2001-01-15 2002-12-31 Chatsworth Products, Inc. Electrical equipment and cable support assembly
US6504100B2 (en) * 2000-12-20 2003-01-07 Chatsworth Products, Inc. Flexible intra-cabinet cable ring wire management system
US6613981B1 (en) * 2001-10-17 2003-09-02 Chatsworth Products, Inc. Pivotable cable ring wire management system
US6646564B1 (en) * 2001-03-07 2003-11-11 L'air Liquide Societe Anonyme A Directoire Et Conseil De Surveillance Pour L'etude Et L'exploitation Des Procedes Georges Claude System and method for remote management of equipment operating parameters
US6664985B1 (en) * 1997-07-02 2003-12-16 At&T Corporation Method and apparatus for supervising a processor within a distributed platform switch through graphical representations
US6755493B1 (en) * 2000-09-19 2004-06-29 Chatsworth Products, Inc. Wall mounted cabinet having improved hinge design
US20040154832A1 (en) * 2003-02-06 2004-08-12 Thomas Koithan Method and apparatus for controlling wellbore equipment
US6814244B1 (en) * 2001-10-17 2004-11-09 Chatsworth Products, Inc. Ramped latch closure system
US6968295B1 (en) * 2002-12-31 2005-11-22 Ingersoll-Rand Company, Ir Retail Solutions Division Method of and system for auditing the energy-usage of a facility
US20060007308A1 (en) * 2004-07-12 2006-01-12 Ide Curtis E Environmentally aware, intelligent surveillance device
US20060028335A1 (en) * 2003-10-15 2006-02-09 Glenn Gregory M Server system for remote monitoring
US20060277206A1 (en) * 2005-06-02 2006-12-07 Bailey Philip G Automated reporting of computer system metrics
US7237086B1 (en) * 2003-11-26 2007-06-26 American Megatrends, Inc. Configuring a management module through a graphical user interface for use in a computer system

Family Cites Families (57)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
FR2535324A1 (en) 1982-10-27 1984-05-04 Choay Sa PERFECTED STATION FOR THE PURIFICATION OF WASTEWATER
US5586250A (en) * 1993-11-12 1996-12-17 Conner Peripherals, Inc. SCSI-coupled module for monitoring and controlling SCSI-coupled raid bank and bank environment
JPH07211832A (en) * 1994-01-03 1995-08-11 Motorola Inc Power radiating device and manufacture thereof
US5619077A (en) * 1994-03-18 1997-04-08 Holophane Lighting, Inc. System and method for providing alternate AC voltage
FR2729482A1 (en) 1995-01-17 1996-07-19 Alsthom Cge Alcatel METHOD FOR SECURING THE DISPLAY, ON A SCREEN, OF SYNOPTICS REFLECTING THE STATE OF A SYSTEM
US6338150B1 (en) 1997-05-13 2002-01-08 Micron Technology, Inc. Diagnostic and managing distributed processor system
US6247898B1 (en) * 1997-05-13 2001-06-19 Micron Electronics, Inc. Computer fan speed control system
US6088816A (en) 1997-10-01 2000-07-11 Micron Electronics, Inc. Method of displaying system status
US6408393B1 (en) * 1998-01-09 2002-06-18 Hitachi, Ltd. CPU power adjustment method
US6664988B1 (en) * 1999-02-10 2003-12-16 Micron Technology, Inc. Graphical representation of system information on a remote computer
US6467052B1 (en) * 1999-06-03 2002-10-15 Microsoft Corporation Method and apparatus for analyzing performance of data processing system
DE19942430A1 (en) 1999-09-06 2001-03-08 Sperling Axel Operating environment control device for computers with component-specific monitoring and control
US6557357B2 (en) 2000-02-18 2003-05-06 Toc Technology, Llc Computer rack heat extraction device
US6504721B1 (en) 2000-09-29 2003-01-07 Intel Corporation Thermal cooling apparatus
US7020586B2 (en) 2001-12-17 2006-03-28 Sun Microsystems, Inc. Designing a data center
US6697255B1 (en) * 2002-02-14 2004-02-24 Mercury Computer Systems, Inc. Circuit board assembly with integrated shaping and control of flow resistance curve
US6690575B1 (en) 2002-02-14 2004-02-10 Mercury Computer Systems, Inc. Digital data processor chassis with flow balanced air intake into multiple circuit board assemblies
US7027053B2 (en) 2002-02-28 2006-04-11 Sun Microsystems, Inc. Graphical user interface for indicating device failover
GB0207382D0 (en) 2002-03-28 2002-05-08 Holland Heating Uk Ltd Computer cabinet
US7200779B1 (en) 2002-04-26 2007-04-03 Advanced Micro Devices, Inc. Fault notification based on a severity level
US6786056B2 (en) 2002-08-02 2004-09-07 Hewlett-Packard Development Company, L.P. Cooling system with evaporators distributed in parallel
US6714412B1 (en) 2002-09-13 2004-03-30 International Business Machines Corporation Scalable coolant conditioning unit with integral plate heat exchanger/expansion tank and method of use
US7865764B2 (en) 2002-10-01 2011-01-04 Rackmaster Systems, Inc. Remote chassis monitoring system
US7020802B2 (en) * 2002-10-17 2006-03-28 Sun Microsystems, Inc. Method and apparatus for monitoring and recording computer system performance parameters
US7313717B2 (en) * 2003-04-17 2007-12-25 Sun Microsystems, Inc. Error management
US7173821B2 (en) * 2003-05-16 2007-02-06 Rackable Systems, Inc. Computer rack with power distribution system
FR2855711B1 (en) 2003-05-26 2005-08-05 Canon Europa Nv SYSTEM AND DEVICE FOR DISSIPATING HEAT IN ELECTRONIC EQUIPMENT
US7012807B2 (en) * 2003-09-30 2006-03-14 International Business Machines Corporation Thermal dissipation assembly and fabrication method for electronics drawer of a multiple-drawer electronics rack
JP2005115751A (en) 2003-10-09 2005-04-28 Hitachi Ltd Computer system and method for detecting sign of failure of computer system
US7106590B2 (en) 2003-12-03 2006-09-12 International Business Machines Corporation Cooling system and method employing multiple dedicated coolant conditioning units for cooling multiple electronics subsystems
US7088585B2 (en) * 2003-12-03 2006-08-08 International Business Machines Corporation Cooling system and method employing at least two modular cooling units for ensuring cooling of multiple electronics subsystems
US7270174B2 (en) 2003-12-16 2007-09-18 International Business Machines Corporation Method, system and program product for automatically checking coolant loops of a cooling system for a computing environment
GB2411259A (en) * 2004-02-19 2005-08-24 Global Datact Man Ltd Computer Asset Management System and Method
US6967841B1 (en) 2004-05-07 2005-11-22 International Business Machines Corporation Cooling assembly for electronics drawer using passive fluid loop and air-cooled cover
US7248472B2 (en) * 2004-05-21 2007-07-24 Hewlett-Packard Development Company, L.P. Air distribution system
US7259961B2 (en) 2004-06-24 2007-08-21 Intel Corporation Reconfigurable airflow director for modular blade chassis
US7086247B2 (en) 2004-08-31 2006-08-08 International Business Machines Corporation Cooling system and method employing auxiliary thermal capacitor unit for facilitating continuous operation of an electronics rack
US7274566B2 (en) 2004-12-09 2007-09-25 International Business Machines Corporation Cooling apparatus for an electronics subsystem employing a coolant flow drive apparatus between coolant flow paths
US7184269B2 (en) * 2004-12-09 2007-02-27 International Business Machines Company Cooling apparatus and method for an electronics module employing an integrated heat exchange assembly
US6973801B1 (en) 2004-12-09 2005-12-13 International Business Machines Corporation Cooling system and method employing a closed loop coolant path and micro-scaled cooling structure within an electronics subsystem of an electronics rack
US7715037B2 (en) 2005-03-01 2010-05-11 Xerox Corporation Bi-directional remote visualization for supporting collaborative machine troubleshooting
US7881910B2 (en) 2005-05-02 2011-02-01 American Power Conversion Corporation Methods and systems for managing facility power and cooling
US7277283B2 (en) 2005-05-06 2007-10-02 International Business Machines Corporation Cooling apparatus, cooled electronic module and methods of fabrication thereof employing an integrated coolant inlet and outlet manifold
US7672811B2 (en) * 2005-06-17 2010-03-02 Gm Global Technology Operations, Inc. System and method for production system performance prediction
US7542287B2 (en) 2005-09-19 2009-06-02 Chatsworth Products, Inc. Air diverter for directing air upwardly in an equipment enclosure
US7298617B2 (en) 2005-10-25 2007-11-20 International Business Machines Corporation Cooling apparatus and method employing discrete cold plates disposed between a module enclosure and electronics components to be cooled
US7298618B2 (en) 2005-10-25 2007-11-20 International Business Machines Corporation Cooling apparatuses and methods employing discrete cold plates compliantly coupled between a common manifold and electronics components of an assembly to be cooled
US7830547B2 (en) 2005-11-30 2010-11-09 Xerox Corporation User interface assistant
US7272005B2 (en) 2005-11-30 2007-09-18 International Business Machines Corporation Multi-element heat exchange assemblies and methods of fabrication for a cooling system
US7373278B2 (en) * 2006-01-20 2008-05-13 Emerson Network Power - Embedded Computing, Inc. Method of latent fault checking a cooling module
US7511960B2 (en) 2006-09-13 2009-03-31 Sun Microsystems, Inc. Balanced chilled fluid cooling system for a data center in a shipping container
US7421368B2 (en) 2006-12-19 2008-09-02 International Business Machines Corporation Detection of airflow anomalies in electronic equipment
US7452236B2 (en) 2007-02-01 2008-11-18 Aprius, Inc. Cabling for rack-mount devices
US7694188B2 (en) 2007-02-05 2010-04-06 Microsoft Corporation Disk failure prevention and error correction
US7730364B2 (en) 2007-04-05 2010-06-01 International Business Machines Corporation Systems and methods for predictive failure management
CN101755495B (en) * 2007-05-15 2013-10-16 美国能量变换公司 Methods and systems for managing facility power and cooling
US20090083586A1 (en) * 2007-09-24 2009-03-26 General Electric Company Failure management device and method

Patent Citations (26)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5460006A (en) * 1993-11-16 1995-10-24 Hoshizaki Denki Kabushiki Kaisha Monitoring system for food storage device
US5391084A (en) * 1994-03-11 1995-02-21 Chatsworth Products, Inc. Grounding assembly for electrical distribution panels
US6128016A (en) * 1996-12-20 2000-10-03 Nec Corporation Graphic user interface for managing a server system
US5806687A (en) * 1997-02-27 1998-09-15 Chatsworth Prod Inc Swinging gate rack
US5997117A (en) * 1997-06-06 1999-12-07 Chatsworth Products, Inc. Rack frame cabinet
US6664985B1 (en) * 1997-07-02 2003-12-16 At&T Corporation Method and apparatus for supervising a processor within a distributed platform switch through graphical representations
US20020161885A1 (en) * 1999-10-27 2002-10-31 Netbotz Inc. Methods for displaying physical network topology and environmental status by location, organization, or responsible party
US6185098B1 (en) * 2000-01-31 2001-02-06 Chatsworth Products, Inc. Co-location server cabinet
US6394398B1 (en) * 2000-06-22 2002-05-28 Chatsworth Products, Inc. Modular inter-cabinet horizontal cable support apparatus
US6489565B1 (en) * 2000-09-15 2002-12-03 Chatsworth Products, Inc. Vertical cable management rack
US7119282B2 (en) * 2000-09-15 2006-10-10 Chatsworth Products, Inc. Vertical cable management rack
US6605782B1 (en) * 2000-09-15 2003-08-12 Chatsworth Products, Inc. Vertical cable management rack
US6755493B1 (en) * 2000-09-19 2004-06-29 Chatsworth Products, Inc. Wall mounted cabinet having improved hinge design
US6504100B2 (en) * 2000-12-20 2003-01-07 Chatsworth Products, Inc. Flexible intra-cabinet cable ring wire management system
US6501020B2 (en) * 2001-01-15 2002-12-31 Chatsworth Products, Inc. Electrical equipment and cable support assembly
US20020104323A1 (en) * 2001-02-02 2002-08-08 Logis-Tech, Inc. Environmental stabilization system and method for maintenance and inventory
US6646564B1 (en) * 2001-03-07 2003-11-11 L'air Liquide Societe Anonyme A Directoire Et Conseil De Surveillance Pour L'etude Et L'exploitation Des Procedes Georges Claude System and method for remote management of equipment operating parameters
US20020189267A1 (en) * 2001-05-03 2002-12-19 Abtar Singh System for remote refrigeration monitoring and diagnostics
US6613981B1 (en) * 2001-10-17 2003-09-02 Chatsworth Products, Inc. Pivotable cable ring wire management system
US6814244B1 (en) * 2001-10-17 2004-11-09 Chatsworth Products, Inc. Ramped latch closure system
US6968295B1 (en) * 2002-12-31 2005-11-22 Ingersoll-Rand Company, Ir Retail Solutions Division Method of and system for auditing the energy-usage of a facility
US20040154832A1 (en) * 2003-02-06 2004-08-12 Thomas Koithan Method and apparatus for controlling wellbore equipment
US20060028335A1 (en) * 2003-10-15 2006-02-09 Glenn Gregory M Server system for remote monitoring
US7237086B1 (en) * 2003-11-26 2007-06-26 American Megatrends, Inc. Configuring a management module through a graphical user interface for use in a computer system
US20060007308A1 (en) * 2004-07-12 2006-01-12 Ide Curtis E Environmentally aware, intelligent surveillance device
US20060277206A1 (en) * 2005-06-02 2006-12-07 Bailey Philip G Automated reporting of computer system metrics

Cited By (24)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9754055B1 (en) * 2009-05-06 2017-09-05 Amdocs Software Systems Limited System, method, and computer program product for managing an area for positioning resources, based on parameters of the resources
US20110083094A1 (en) * 2009-09-29 2011-04-07 Honeywell International Inc. Systems and methods for displaying hvac information
US8584030B2 (en) * 2009-09-29 2013-11-12 Honeywell International Inc. Systems and methods for displaying HVAC information
CN102169527A (en) * 2010-02-26 2011-08-31 国际商业机器公司 Method and system for determining mounting machine frame for equipment in data center
US20110213735A1 (en) * 2010-02-26 2011-09-01 International Business Machines Corporation Selecting An Installation Rack For A Device In A Data Center
US20130198576A1 (en) * 2010-11-29 2013-08-01 Nec Corporation Display processing system, display processing method, and program
US9208012B2 (en) * 2010-11-29 2015-12-08 Nec Corporation Display processing system, display processing method, and program
US9195532B2 (en) * 2010-11-29 2015-11-24 Nec Corporation Display processing system, display processing method, and program
JP5790662B2 (en) * 2010-11-29 2015-10-07 日本電気株式会社 Display processing system, display processing method, and program
US20120313963A1 (en) * 2011-06-13 2012-12-13 International Business Machines Corporation Enhanced Asset Management and Planning System
US8773467B2 (en) * 2011-06-13 2014-07-08 International Business Machines Corporation Enhanced asset management and planning system
US20130110943A1 (en) * 2011-11-02 2013-05-02 Apple Inc. Notification and reminder generation, distribution, and storage system
US9070174B2 (en) * 2012-08-20 2015-06-30 Honeywell International Inc. Providing a diagnosis of a system of a building
US20150243152A1 (en) * 2012-08-20 2015-08-27 Honeywell International Inc. Providing a diagnosis of a system of a building
US9430929B2 (en) * 2012-08-20 2016-08-30 Honeywell International Inc. Providing a diagnosis of a system of a building
US20140049402A1 (en) * 2012-08-20 2014-02-20 Honeywell International Inc. Providing a diagnosis of a system of a building
US9058583B2 (en) 2012-09-06 2015-06-16 Sap Se Systems and methods for mobile access to item information
US20140068445A1 (en) * 2012-09-06 2014-03-06 Sap Ag Systems and Methods for Mobile Access to Enterprise Work Area Information
US20150121235A1 (en) * 2013-10-31 2015-04-30 Hon Hai Precision Industry Co., Ltd. Electronic device and method for managing servers
USD820288S1 (en) * 2013-12-13 2018-06-12 Kbc Advanced Technologies Plc Display screen with graphical user interface
USD748126S1 (en) * 2013-12-23 2016-01-26 Skyhigh Networks, Inc. Display screen with a graphical user interface for cloud usage analysis
CN106651077A (en) * 2015-11-04 2017-05-10 中兴通讯股份有限公司 Method and device for searching equipment storage position
CN107390521A (en) * 2017-06-27 2017-11-24 西安建筑科技大学 The method and test platform that a kind of optimal measuring point of air-conditioning system indoor temperature is asked for
US11188214B2 (en) * 2020-03-31 2021-11-30 Schneider Electric It Corporation Systems and methods for determining liquid cooled architectures in an IT room

Also Published As

Publication number Publication date
CA2882794C (en) 2017-08-22
US20090210099A1 (en) 2009-08-20
US20090210755A1 (en) 2009-08-20
CA2718733A1 (en) 2009-08-20
WO2009102977A2 (en) 2009-08-20
CA2882998A1 (en) 2009-08-20
US8175753B2 (en) 2012-05-08
CA2718733C (en) 2015-05-26
US8437881B2 (en) 2013-05-07
WO2009102977A3 (en) 2009-11-05
CA2882794A1 (en) 2009-08-20
CA2882998C (en) 2016-10-18
US20090210097A1 (en) 2009-08-20
US8201028B2 (en) 2012-06-12

Similar Documents

Publication Publication Date Title
US8201028B2 (en) Systems and methods for computer equipment management
US11076507B2 (en) Methods and systems for managing facility power and cooling
US10228292B2 (en) Virtual data center environmental monitoring system
EP2313831B1 (en) Data center thermal monitoring
US20150134123A1 (en) Predictive monitoring and control of an environment using cfd
US9857235B2 (en) Real-time modeling of heat distributions
US9916535B2 (en) Systems and methods for predictive analysis
GB2470465A (en) Abnormality detection of air conditioner
JP6554828B2 (en) Information processing apparatus, information processing method, and program
US9295183B2 (en) Method and system for real time monitoring, prediction, analysis and display of temperatures for effective thermal management in a data center
EP3500078B1 (en) Method and system for predicting effect of a transient event on a data center
US20090199580A1 (en) Air conditioning system control
JP6862130B2 (en) Anomaly detection device, anomaly detection method, and program
EP3042259B1 (en) Thermal capacity management
KR101691787B1 (en) Method and system for providing tendency analisis service based buidding energy management index measurements system
KR102090281B1 (en) Cooling energy performance evaluation system in data center building and method of the same
KR101830859B1 (en) Method of diagnosing energy being consumed in internet data center by using virtual building model
WO2013128468A2 (en) Method and system for efficient real time thermal management of a data center
US11408625B2 (en) Cooling system monitoring
US10281945B2 (en) Information terminal control method and information system
Sharma et al. Application of exploratory data analysis (eda) techniques to temperature data in a conventional data center
JP4809029B2 (en) Calorimeter
JP2011034287A (en) Rack environment management system and rack environment management method

Legal Events

Date Code Title Description
AS Assignment

Owner name: THE PNC FINANCIAL SERVICES GROUP, INC., PENNSYLVAN

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:SAWCZAK, STEPHEN D.;KOMLENIC, TODD;REEL/FRAME:022604/0771

Effective date: 20090416

STCB Information on status: application discontinuation

Free format text: ABANDONED -- FAILURE TO RESPOND TO AN OFFICE ACTION