System and method for managing energy consumption in a compute environment

• US 9,411,393 B2
• Filed: 05/04/2015
• Issued: 08/09/2016
• Est. Priority Date: 04/21/2008
• Status: Active Grant

• Current Assignee: Seagate Technology LLC (Seagate Technology Holdings Plc)
• Original Assignee: Adaptive Computing Enterprises, Inc. (Ala Services LLC)
• Inventors: Jackson, David Brian
• Primary Examiner(s): CONNOLLY, MARK A
• Application Number:
  US14/702,846
• Publication Number:
  US 20150234441A1
• Time in Patent Office: 463 Days
• Field of Search: 713/300, 700/300
• US Class Current: 1/1
• CPC Class Codes: G05D 23/1917 using digital means
• CPC Class Codes: G06F 1/3203 Power management, i.e. event-based initiation of a power-saving mode
• CPC Class Codes: G06F 1/3206 Monitoring of events, devices or parameters that trigger a change in power modality
• CPC Class Codes: G06F 1/3256 Power saving in optical drive
• CPC Class Codes: G06F 1/3268 Power saving in hard disk drive
• CPC Class Codes: G06F 1/3275 Power saving in memory, e.g. RAM, cache
• CPC Class Codes: G06F 1/3287 by switching off individual functional units in the computer system
• CPC Class Codes: G06F 1/329 by task scheduling
• CPC Class Codes: G06F 9/5088 involving task migration
• CPC Class Codes: G06F 9/5094 where the allocation takes into account power or heat criteria power management in computers in general G06F1/3203; thermal management in computers in general G06F1/206
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: Y02D 10/00 Energy efficient computing, e.g. low power processors, power management or thermal management

Abstract

A system, method and non-transitory computer readable storage medium are disclosed for managing workload in a data center. The method includes receiving data related to at least one of a current state of workload in the compute environment at a current time and future workload scheduled to consume resources in the compute environment at a future time relative to the current time, wherein the compute environment comprises a plurality of nodes in which compute resources are reserved by a workload manager for consumption, and controlling a cooling system to selectively modify a temperature of at least one node in the compute environment based on the data.

Claims

1. A system comprising:

a processor; and

a computer-readable medium storing instructions which, when executed by the processor, cause the processor to perform operations comprising;

receiving temperature information associated with at least one node in a compute environment at a workload manager;

receiving data about a characteristic of a future workload submitted by a user to be consumed by nodes in the compute environment, the characteristic being related to how the future workload will consume energy relative to other workload; and

controlling a cooling system to selectively modify a temperature of at least one node in the compute environment based on the data.

2. The system of claim 1, wherein controlling the cooling system is performed via the workload manager.

3. The system of claim 1, the computer-readable storage medium storing instructions which, when executed by the processor, cause the processor to perform operations comprising:

receiving data associated with a current state of workload in the compute environment and a scheduled workload in the compute environment from a workload manager that reserves resources in the compute environment and implements workload according to reserved resources.

4. The system of claim 1, wherein controlling the cooling system further comprises controlling the cooling system to selectively cool a geographic portion of the compute environment.

5. The system of claim 1, wherein the workload manager manages reservation of resources in the compute environment and insertion of workload into reserved resources in the compute environment, and wherein the workload manager further controls the cooling system on a geographic basis according to position of nodes in the compute environment.

6. A computer-readable storage medium storing instructions which, when executed by the processor, cause the processor to perform further operations comprising:

receiving temperature information associated with at least one node in a compute environment at a workload manager;

receiving data about a characteristic of a future workload submitted by a user to be consumed by nodes in the compute environment, the characteristic being related to how the future workload will consume energy relative to other workload; and

controlling a cooling system to selectively modify a temperature of at least one node in the compute environment based on the data.

7. The computer-readable storage medium of claim 6, wherein controlling the cooling system is performed via the workload manager.

8. The computer-readable storage medium of claim 6, wherein the computer-readable storage medium stores instructions which, when executed by the processor, cause the processor to perform further operations comprising:

receiving data associated with a current state of workload in the compute environment and a scheduled workload in the compute environment from a workload manager that reserves resources in the compute environment and implements workload according to reserved resources.

9. The computer-readable storage medium of claim 6, wherein controlling the cooling system further comprises controlling the cooling system to selectively cool a geographic portion of the compute environment.

10. The computer-readable storage medium of claim 6, wherein the workload manager manages reservation of resources in the compute environment and insertion of workload into reserved resources in the compute environment, and wherein the workload manager further controls the cooling system on a geographic basis according to position of nodes in the compute environment.

11. A method comprising:

receiving temperature information associated with at least one node in a compute environment at a workload manager;

receiving data about a characteristic of a future workload submitted by a user to be consumed by nodes in the compute environment, the characteristic being related to how the future workload will consume energy relative to other workload; and

controlling a cooling system to selectively modify a temperature of at least one node in the compute environment based on the data.