SYSTEM AND METHOD FOR MANAGING ENERGY CONSUMPTION IN A COMPUTE ENVIRONMENT

• US 20110035078A1
• Filed: 08/12/2010
• Published: 02/10/2011
• Est. Priority Date: 04/21/2008
• Status: Active Grant

• Current Assignee: Seagate Technology LLC (Seagate Technology Holdings Plc)
• Original Assignee: Adaptive Computing Enterprises Incorporated Formerly Known As Cluster Resources Incorporated
• Inventors: Jackson, David B.
• Granted Patent: US 9,026,807 B2
• Time in Patent Office: Days
• US Class Current: 700/300
• 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 method of managing a compute environment, the method comprising:

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.

2. The method of claim 1, wherein the data further comprises temperature information corresponding to nodes in the compute environment.

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

4. The method of claim 1, wherein the data about at least one of the current state of workload in the compute environment and the scheduled workload in the compute environment is received from a workload manager that reserves resources in the compute environment and implements workload according to reserved resources.

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

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

7. A system for managing a compute environment, the system comprising:

a processor;

a first module configured to control the processor to receive 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

a second module configured to control the processor to control a cooling system to selectively modify temperature of at least one node in the compute environment based on at least one of the data and the temperature information.

8. The system of claim 7, wherein the data further comprises temperature information corresponding to nodes in the compute environment.

9. The system of claim 7, wherein controlling the cooling system is performed via a workload manager.

10. The system of claim 7, wherein the data about at least one of the current state of workload in the compute environment and the scheduled workload in the compute environment is received from a workload manager that reserves resources in the compute environment and implements workload according to reserved resources.

11. The system of claim 7, wherein the third module is further configured to control the processor to control the cooling system to selectively cool a geographic portion of the compute environment.

12. The system of claim 7, wherein a workload manager that manages reservation of resources in the compute environment and insertion of workload into reserved resources in the compute environment further controls the cooling system on a geographic basis according to position of nodes in the compute environment.

13. A method of managing a temperature of a compute environment, the method comprising:

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

receiving data about a future workload to be consumed by nodes in the compute environment; and

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

14. The method of claim 13, wherein controlling the cooling system is performed via the workload manager.

15. The method of claim 13, further 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.

16. The method of claim 13, wherein controlling the cooling system further comprises controlling the cooling system to selectively cool a geographic portion of the compute environment.

17. The method of claim 13, 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.