A method for use in deploying computers into a data center includes calculating in a computer an expected peak power draw for a plurality of computers. The expected peak power draw for the plurality of computers is less than a sum of individual expected peak power draws for each computer from the pl
A method for use in deploying computers into a data center includes calculating in a computer an expected peak power draw for a plurality of computers. The expected peak power draw for the plurality of computers is less than a sum of individual expected peak power draws for each computer from the plurality of computers.
대표청구항▼
1. A method of estimating peak power usage of a computing system having a CPU, comprising: identifying a computing system among a plurality of computing systems installed in a data center;determining a plurality of components in the computing system;determining a peak power usage value for each comp
1. A method of estimating peak power usage of a computing system having a CPU, comprising: identifying a computing system among a plurality of computing systems installed in a data center;determining a plurality of components in the computing system;determining a peak power usage value for each component of the plurality of components as the computing system is operating at an operating condition that comprises an application being performed by the computing system;adding the peak power usage value for each component of the plurality of components together to result in an actual peak power value;based on the resulting actual peak power value, aggregating actual peak power draws of the plurality of computing systems to determine an actual peak power draw of the data center that comprises the plurality of computing systems;determining that the actual peak power draw of the data center is less than a sum of a maximum rated power draw of each of the plurality of computing systems;based on the determination, deploying an additional plurality of the computing systems in the data center, wherein a sum of the maximum rated power draw of each of the plurality and additional plurality of computing systems is greater than a design power capacity of the data center;determining a design power density of the data center based on the maximum rated power draw of each of the plurality and additional plurality of computing systems;determining an average power density of the data center based on the aggregated actual peak power draws of each of the plurality and additional plurality of computing systems; anddetermining an oversubscription ratio of the data center based on a ratio of the design power density to the average power density for the plurality and additional plurality of computing systems. 2. The method of claim 1, wherein the system comprises a server. 3. The method of claim 1, further comprising: designing a power system for a rack of a portion of the plurality of the computing systems, the power system for the rack having a design power capacity greater than a sum of the peak power usage values of the portion of the plurality of the computing systems in the rack; anddesigning a power system for the data center that comprises a plurality of the racks, the power system for the data center having the design power capacity less than a sum of the design power capacities of the plurality of the racks. 4. The method of claim 3, wherein the design power capacity of the data center is less than a sum of the actual peak power values of the plurality of computing systems in the data center. 5. The method of claim 1, wherein one of the components comprises a CPU, the method further comprising: determining a peak CPU utilization;estimating the peak power usage value of the CPU based on the peak CPU utilization. 6. The method of claim 1, further comprising determining a spatial layout of the data center based on the oversubscription ratio and the design power density. 7. The method of claim 1, further comprising determining a length of a row of one or more racks that support the plurality and additional plurality of computing systems in the data center based on the design power capacity, the design power density, and the oversubscription ratio. 8. The method of claim 7, wherein determining the length of the row comprises dividing the design power capacity by the design power density and multiplying by the oversubscription ratio. 9. A method of modeling computer system power usage for a single system, comprising: generating a model of a power model of a running a group of computing systems, wherein each computing system has a CPU;measuring total system power usage of each computing system in the group;measuring CPU utilization of each computing system in the group;determining a line fit of the system power to CPU utilization to create the model, wherein the line fit is based, at least in part, on the CPU utilization measured at an operating condition of the computing systems, a power usage of each computing system at the operating condition, and a power usage of each computing system at an idle state, the operating condition comprising an application performed by the computing systems;based on the created model, determining a data center design power capacity for a plurality of groups of computing systems;based on the created model, determining an oversubscription ratio of a data center based on a ratio of the design power density of the plurality of groups of computing systems to the average power density for the plurality of groups of computing systems;based on the determined data center design power capacity and oversubscription ratio, determining a spatial layout of the data center, wherein a sum of the peak power draws of the plurality of groups of computing systems is greater than the determined data center design power capacity, and a sum of the average power draws of the plurality of groups of computing systems is less than the determined data center design power capacity; andconstructing the data center with the determined spatial layout. 10. The method of claim 9, wherein each group of computing systems comprises a rack of computing systems, each rack having a peak power supply capacity that is greater than a sum of the peak power draws of the computing systems in the rack. 11. The method of claim 9, wherein the application is a first application, and running a group of computing systems comprises: running a first portion of the group of computing systems with the first applications; andrunning a second portion of the group of computing system with a second application different than the first application. 12. The method of claim 9, wherein each computing system comprises a server. 13. A method of determining a number of computing systems that can be run in a data center, comprising: determining a total power available; andgenerating a model of computing system power usage for a single system, the generating comprising: running a group of computing systems, wherein each computing system has a CPU;measuring total system power usage of the computing system;measuring an actual CPU utilization of each computing system in the group;determining a line fit to the system power to the actual CPU utilization to generate the model, wherein the line fit is based, at least in part, on the CPU utilization measured at an operating condition of the computing systems, a power usage of each computing system at the operating condition, and a power usage of each computing system at an idle state, the operating condition comprising an application performed by the computing systems;based on the created model, determining a data center design power capacity for a plurality of groups of computing systems; andbased on the created model, determining an oversubscription ratio of a data center based on a ratio of the design power density of the plurality of groups of computing systems to the average power density for the plurality of groups of computing systems;based on the determined data center design power capacity and the oversubscription ratio, determining a spatial layout of the data center, wherein a sum of the peak power draws of the plurality of groups of computing systems is greater than the determined data center design power capacity, and a sum of the average power draws of the plurality of groups of computing systems is less than the determined data center design power capacity;selecting a number of computing systems based on the generated model and an estimated amount of CPU utilization over a given period; andconstructing the data center with the determined spatial layout and the selected number of computing systems. 14. The method of claim 13, wherein selecting the number of computing systems based on the generated model and an estimated amount of CPU utilization over a given period comprises: grouping computing systems into first tier groups and second tier groups, wherein a total system power usage of a computing system in the first tier group is different from a total system power usage in the second tier group; andselecting a combination of first tier group computer systems and second tier group computer systems. 15. The method of claim 13, wherein each group of computing systems comprises a rack of computing systems, each rack having a peak power supply capacity that is greater than a sum of the peak power draws of the computing systems in the rack. 16. The method of claim 13, wherein the application is a first application, and running a group of computing systems comprises: running a first portion of the group of computing systems with the first applications; andrunning a second portion of the group of computing system with a second application different than the first application. 17. The method of claim 13, wherein each computing system comprises a server.
연구과제 타임라인
LOADING...
LOADING...
LOADING...
LOADING...
LOADING...
이 특허에 인용된 특허 (138)
Rasmussen, Neil; Simonelli, James; McNally, John; Brill, Kenneth G., Adjustable scalable rack power system and method.
Hillis,W. Daniel; Duttweiler,Mark; Salter,Kenneth D.; Yates,Randall A., Balanced chilled fluid cooling system for a data center in a shipping container.
Boros, Tibor, Distributed power management method for monitoring control/status signal of sub-modules to manage power of sub-modules by activating clock signal during operation of sub-modules.
Bahali,Sumanta K.; Bailey,Warren D.; Foster, Sr.,Jimmy G.; Sellman,Gregory D., Distributed system and method for managing power usage among server data processing systems.
Hafez, Amr; Rocco, Joseph; Agrawal, Subhash, Enterprise management system and method which includes summarization having a plurality of levels of varying granularity.
Boss, Gregory J.; Doran, James R.; Hamilton, II, Rick A.; Sand, Anne R., Framework for distribution of computer workloads based on real-time energy costs.
Togawa, Atsushi, Method and apparatus for assigning tasks in an information processing system to optimize power consumption versus performance of the system.
Zwinger, Steven F.; Gross, Kenny C.; Dhanekula, Ramakrishna C., Method and apparatus for generating a dynamic power-flux map for a set of computer systems.
Brey,Thomas M.; Felter,Wesley M.; Lefurgy,Charles R.; Rajamani,Karthick; Rubio,Juan C.; Ware,Malcolm S., Method and system for providing performance estimations for a specified power budget.
Lefurgy, Charles R.; Govindan, Madhu Saravana Sibi, Method and system for real-time prediction of power usage for a change to another performance state.
Pomaranski,Ken Gary; Barr,Andrew Harvey, Method for determining number of dynamically temperature-adjusted power supply units needed to supply power according to measure operating temperature of power supply units.
Pomaranski,Ken Gary; Barr,Andrew Harvey, Method of providing dynamic power redundancy based on a difference of current power units and currently needed power units.
Hatasaki, Keisuke; Nakajima, Takao; Takamoto, Yoshifumi, Method, computing system, and computer program for reducing power consumption of a computing system by relocating jobs and deactivating idle servers.
Hatasaki, Keisuke; Nakajima, Takao; Takamoto, Yoshifumi, Method, computing system, and computer program for reducing power consumption of a computing system by relocating jobs and deactivating idle servers.
Baba,Takashige; Horimoto,Kazuhide, Multiple computer equipment and management method for determining number of AC-DC power modules to be operated by calculating power consumption based upon system information.
Baba, Takashige; Horimoto, Kazuhide, Multiple computer system equipped with a management module determining number of power supply modules to be operated based upon system information.
Felter,Wesley Michael; Keller, Jr.,Thomas Walter; Rajamani,Karthick; Rusu,Cosmin, Performance conserving method for reducing power consumption in a server system.
Bolan,Joesph E.; Brey,Thomas; Desai,Dhruv M.; Gruendler,Nickolas J.; Hughes,James E.; Klodnicki,Edward J.; Kochar,Sumeet; Shippy,Gary R., Power management using spare capacity of redundant power supply in blade environment.
Elliason Kurt L. (12725 54th Ave. North Plymouth MN 55422) Schnell Robert J. (15415 47th Ave. No. Plymouth MN 55446) Bohrer Philip J. (5900 Amy Dr. Edina MN 55436) Merten Gregory J. (3753 Windtree Dr, Real time and/shed load based on received tier pricing and direct load control with processors for each load.
Ali, Abid; Mitra, Asim, Scheduling of new job within a start time range based on calculated current load and predicted load value of the new job on media resources.
Paik, Nam Wook; Haines, Lance Palmer; Deokar, Vishwas Mohaniraj; Donalds, James H.; Manganese, Michael, System and method for allocating power to loads.
Loffink,John S.; Brundridge,Michael A.; Khatri,Mukund P.; Lambert,Timothy; Lopez,Pedro; Reddy,Jaydev, System and method for blade information handling system power inventory.
Hunt, Galen C.; Hydrie, Aamer; Welland, Robert V.; Tabbara, Bassam; Levi, Steven P.; Rehof, Jakob, System and method for designing a logical model of a distributed computer system and deploying physical resources according to the logical model.
Allison,Michael; Winick,Bradley D.; Zilavy,Daniel V.; Cross,Edward A.; Langley,Phillip David; Mankovich,James E., System and method for power management in a computer system having multiple power grids.
Layton, Jeffrey S.; Macnary, Reynolds R.; Moss, David L., System for determining servers power supply requirement by sampling power usage values thereof at a rate based upon the criticality of its availability.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.