IPC분류정보
국가/구분 |
United States(US) Patent
등록
|
국제특허분류(IPC7판) |
|
출원번호 |
UP-0479542
(2006-06-30)
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등록번호 |
US-7549070
(2009-07-01)
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발명자
/ 주소 |
- Zwinger, Steven F.
- Gross, Kenny C.
- Dhanekula, Ramakrishna C.
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출원인 / 주소 |
|
대리인 / 주소 |
Park, Vaughan & Fleming LLP
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인용정보 |
피인용 횟수 :
15 인용 특허 :
1 |
초록
▼
A system that generates a dynamic power-flux map for a set of computer systems. During operation the system determines the locations of the computer systems. Next, the system receives dynamic traces of power consumption for the computer systems, wherein a dynamic trace of power consumption for a giv
A system that generates a dynamic power-flux map for a set of computer systems. During operation the system determines the locations of the computer systems. Next, the system receives dynamic traces of power consumption for the computer systems, wherein a dynamic trace of power consumption for a given computer system is generated based on dynamic traces of monitored inferential variables for the given computer system. The system then correlates the locations of the computer systems with the dynamic traces of power consumption for the computer systems, and generates the dynamic power-flux map for the set of computer systems based on the correlated locations and the dynamic traces for the computer systems.
대표청구항
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What is claimed is: 1. A method for generating a dynamic power-flux map for a set of computer systems, comprising: determining the locations of the computer systems; receiving dynamic traces of power consumption for the computer systems, wherein a dynamic trace of power consumption for a given comp
What is claimed is: 1. A method for generating a dynamic power-flux map for a set of computer systems, comprising: determining the locations of the computer systems; receiving dynamic traces of power consumption for the computer systems, wherein a dynamic trace of power consumption for a given computer system is generated based on dynamic traces of monitored inferential variables for the given computer system; correlating the locations of the computer systems with the dynamic traces of power consumption for the computer systems; and generating the dynamic power-flux map for the set of computer systems based on the correlated locations and the dynamic traces for the computer systems. 2. The method of claim 1, wherein the dynamic power-flux map is a three-dimensional map which contains two spatial dimensions which specify locations in a two-dimensional space, and a power density dimension which indicates the power flux at a two-dimensional location. 3. The method of claim 1, wherein the dynamic power-flux map is a four-dimensional map which contains three spatial dimensions which specify locations in a three-dimensional space, and a power density dimension which indicates the power flux at a three-dimensional location. 4. The method of claim 1, wherein determining the location of a computer system involves using a radio frequency identity and geometry (RFIG) tag located on the computer system to automatically detect the location of the computer system. 5. The method of claim 1, wherein the computer systems are located within a datacenter. 6. The method of claim 5, wherein the method further comprises repeating the following process until the power flux across the datacenter is substantially balanced: analyzing the dynamic power-flux map to determine whether imbalances exist in power flux across the datacenter; and if imbalances exist, redistributing computer systems to substantially balance power flux across the datacenter; and regenerating the dynamic power-flux map for the datacenter. 7. The method of claim 6, wherein after the power flux across the datacenter is substantially balanced, if the temperature across the datacenter is not balanced, the method further comprises modifying physical attributes of the datacenter to substantially balance the temperature across the datacenter. 8. The method of claim 7, wherein the physical attributes of the datacenter can include: the number of air conditioning units in the data center; the location of air conditioning units in the data center; the cooling capacity of the air conditioning units in the data center; the location of perforated tiles which vent cool air into the datacenter; the location of racks which house the computer systems in the data center; and the air flow characteristics of the racks in the data center. 9. The method of claim 1, wherein the inferential variables include signals from current sensors and voltage sensors located within the computer systems. 10. A computer-readable storage medium storing instructions that when executed by a computer cause the computer to perform a method for generating a dynamic power-flux map for a set of computer systems, wherein the method comprises: determining the locations of the computer systems; receiving dynamic traces of power consumption for the computer systems, wherein a dynamic trace of power consumption for a given computer system is generated based on dynamic traces of monitored inferential variables for the given computer system; correlating the locations of the computer systems with the dynamic traces of power consumption for the computer systems; and generating the dynamic power-flux map for the set of computer systems based on the correlated locations and the dynamic traces for the computer systems. 11. The computer-readable storage medium of claim 10, wherein the dynamic power-flux map is a three-dimensional map which contains two spatial dimensions which specify locations in a two-dimensional space, and a power density dimension which indicates the power flux at a two-dimensional location. 12. The computer-readable storage medium of claim 10, wherein the dynamic power-flux map is a four-dimensional map which contains three spatial dimensions which specify locations in a three-dimensional space, and a power density dimension which indicates the power flux at a three-dimensional location. 13. The computer-readable storage medium of claim 10, wherein determining the location of a computer system involves using a radio frequency identity and geometry (RFIG) tag located on the computer system to automatically detect the location of the computer system. 14. The computer-readable storage medium of claim 10, wherein the computer systems are located within a datacenter. 15. The computer-readable storage medium of claim 14, wherein the method further comprises repeating the following process until the power flux across the datacenter is substantially balanced: analyzing the dynamic power-flux map to determine whether imbalances exist in power flux across the datacenter; and if imbalances exist, redistributing computer systems to substantially balance power flux across the datacenter; and regenerating the dynamic power-flux map for the datacenter. 16. The computer-readable storage medium of claim 15, wherein after the power flux across the datacenter is substantially balanced, if the temperature across the datacenter is not balanced, the method further comprises modifying physical attributes of the datacenter to substantially balance the temperature across the datacenter. 17. The computer-readable storage medium of claim 16, wherein the physical attributes of the datacenter can include: the number of air conditioning units in the data center; the location of air conditioning units in the data center; the cooling capacity of the air conditioning units in the data center; the location of perforated tiles which vent cool air into the datacenter; the location of racks which house the computer systems in the data center; and the air flow characteristics of the racks in the data center. 18. The computer-readable storage medium of claim 10, wherein the inferential variables include signals from current sensors and voltage sensors located within the computer systems. 19. An apparatus that generates a dynamic power-flux map for a set of computer systems, comprising: a location-determination mechanism configured to determine the locations of the computer systems; a receiving mechanism configured to receive dynamic traces of power consumption for the computer systems, wherein a dynamic trace of power consumption for a given computer system is generated based on dynamic traces of monitored inferential variables for the given computer system; a correlation mechanism configured to correlate the locations of the computer systems with the dynamic traces of power consumption for the computer systems; and a map-generation mechanism configured to generate the dynamic power-flux map for the set of computer systems based on the correlated locations and the dynamic traces for the computer systems. 20. The method of claim 19, wherein the dynamic power-flux map is a three-dimensional map which contains two spatial dimensions which specify locations in a two-dimensional space, and a power density dimension which indicates the power flux at a two-dimensional location.
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