System and method for managing energy consumption in a compute environment
원문보기
IPC분류정보
국가/구분
United States(US) Patent
등록
국제특허분류(IPC7판)
G06F-001/00
G06F-001/26
G06F-001/32
G06F-009/46
출원번호
US-0855357
(2010-08-12)
등록번호
US-8271813
(2012-09-18)
발명자
/ 주소
Jackson, David Brian
출원인 / 주소
Adaptive Computing Enterprises, Inc.
대리인 / 주소
Isaacson, Thomas M.
인용정보
피인용 횟수 :
5인용 특허 :
30
초록▼
A system, method and non-transitory computer readable storage medium are disclosed for managing workload in a data center. The method includes receiving, at a workload manager, energy consumption information. The method further includes receiving workload information about a second data center that
A system, method and non-transitory computer readable storage medium are disclosed for managing workload in a data center. The method includes receiving, at a workload manager, energy consumption information. The method further includes receiving workload information about a second data center that is remote from a first data center, and receiving, as controlled by the workload manager, at the first data center at least a portion of workload associated with the second data center based on at least one of the energy consumption information and the workload information.
대표청구항▼
1. A method of managing workload, the method comprising: receiving, at a workload manager, energy consumption information associated with at least one of a first data center and a second data center that is remote from the first data center;receiving workload information about the second data center
1. A method of managing workload, the method comprising: receiving, at a workload manager, energy consumption information associated with at least one of a first data center and a second data center that is remote from the first data center;receiving workload information about the second data center;migrating a first reservation for workload in the second data center to yield a second reservation for the workload in the first data center based at least in part on the energy consumption information and workload information ; andreceiving at the first data center and according to the second reservation, at least a portion of the workload. 2. The method of claim 1, further comprising analyzing workload associated with the first data center to yield an analysis of the first data center workload, wherein migrating the first reservation is further based on the analysis of the first data center workload. 3. The method of claim 1, wherein, when the energy consumption information is associated with a component within a node of the first data center or the second data center. 4. The method of claim 3, wherein the component comprises a processor, a processor core, a random access memory, a storage device, and a cooling device. 5. The method of claim 1, wherein the energy consumption information is based on information further associated with node utilization in each data center of the first data center and the second data center. 6. The method of claim 1, wherein the energy consumption information is based on information further associated with climate conditions of a location of at least one of the first data center and the second data center. 7. A system for managing workload, the system comprising: a processor; anda non-transitory computer-readable storage medium storing instructions, which, when executed by the processor, cause the processor to process a method comprising: receiving, at a workload manager, energy consumption information associated with at least one of a first data center and a second data center that is remote from the first data center;receiving workload information about the second data center;migrating a first reservation for workload in the second data center to yield a second reservation for the workload in the first data center based at least in part on the energy consumption information and workload information ; andreceiving at the first data center and according to the second reservation, at least a portion of the workload. 8. The system of claim 7, wherein the non-transitory computer-readable storage medium further stores instructions, which, when executed by the processor, cause the processor to process a step comprising: analyzing workload associated with the first data center to yield an analysis of the first data center workload, wherein migrating the first reservation is further based on the analysis of the first data center workload. 9. The system of claim 7, wherein the energy consumption information is associated with a component within a node of the first data center or the second data center. 10. The system of claim 9, wherein the component comprises a processor, a processor core, a random access memory, a storage device, and a cooling device. 11. The system of claim 7, wherein the energy consumption information is based on information further associated with node utilization in each data center of the first data center and the second data center. 12. The system of claim 7, wherein the energy consumption information is based on information further associated with climate conditions of a location of at least one of the first data center and the second data center. 13. A non-transitory computer-readable storage medium storing instructions which, when executed by a computing device, cause the computing device to perform a method comprising: receiving, at a workload manager, energy consumption information associated with at least one of a first data center and a second data center that is remote from the first data center;receiving workload information about the second data center;migrating a first reservation for workload in the second data center to yield a second reservation for the workload in the first data center based at least in part on the energy consumption information and workload information ; andreceiving at the first data center and according to the second reservation, at least a portion of the workload. 14. The non-transitory computer-readable storage medium of claim 13, wherein the instructions further cause the processor to perform a step comprising: analyzing workload associated with the first data center to yield an analysis of the first data center workload, wherein migrating the first reservation is further based on the analysis of the first data center workload.
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