IP Library Granted Patent US 8,271,813
Granted Patent B2
US 8,271,813 · App. 12/855,357 · Granted Sep 18, 2012

System and method for managing energy consumption in a compute environment

View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 8,271,813
App. No.
12/855,357
Granted
Sep 18, 2012
Kind
B2
Abstract

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.

Claims (30)

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 ; and

receiving 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; and

a 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 ; and

receiving 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 ; and

receiving 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.

Assignments (10)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 29, 2019
From: III HOLDINGS 3, LLC
To: SEAGATE TECHNOLOGY LLC
Reel/Frame 048168/0149 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 5, 2018
From: III HOLDINGS 12, LLC
To: III HOLDINGS 3, LLC
Reel/Frame 046274/0651 →
RELEASE OF SECURITY INTEREST Recorded Mar 30, 2018
From: SILICON VALLEY BANK
To: ADAPTIVE COMPUTING ENTERPRISES, INC
Reel/Frame 045949/0257 →
CHANGE OF NAME Recorded Jul 7, 2017
From: CLUSTER RESOURCES, INC.
To: ADAPTIVE COMPUTING ENTERPRISES, INC.
Reel/Frame 043108/0176 →
MERGER Recorded Jul 7, 2017
From: ADAPTIVE COMPUTING ENTERPRISES, INC. (UT)
To: ADAPTIVE COMPUTING ENTERPRISES, INC (DE)
Reel/Frame 043108/0283 →
CONFIRMATORY ASSIGNMENT Recorded Mar 14, 2017
From: JACKSON, DAVID B.
To: CLUSTER RESOURCES, INC.
Reel/Frame 042006/0877 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 22, 2016
From: ADAPTIVE COMPUTING ENTERPRISES, INC.
To: III HOLDINGS 12, LLC
Reel/Frame 040754/0973 →
SECURITY INTEREST Recorded May 11, 2015
From: ADAPTIVE COMPUTING ENTERPRISES, INC.
To: SILICON VALLEY BANK
Reel/Frame 035634/0954 →
CHANGE OF NAME Recorded Nov 21, 2014
From: CLUSTER RESOURCES, INC.
To: ADAPTIVE COMPUTING ENTERPRISES, INC.
Reel/Frame 034315/0126 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 20, 2014
From: JACKSON, DAVID B.
To: CLUSTER RESOURCES, INC.
Reel/Frame 034222/0343 →