SYSTEM AND METHOD FOR MANAGING ENERGY CONSUMPTION IN A COMPUTE ENVIRONMENT

• US 20090265568A1
• Filed: 07/24/2008
• Published: 10/22/2009
• Est. Priority Date: 04/21/2008
• Status: Active Grant

• Current Assignee: Seagate Technology LLC (Seagate Technology Holdings Plc)
• Original Assignee: Cluster Resources, Inc. (Ala Services LLC)
• Inventors: JACKSON, David B.
• Granted Patent: US 8,271,807 B2
• Time in Patent Office: Days
• US Class Current: 713/320
• 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 computer readable medium are disclosed for reducing power consumption in clusters, grids, on-demand centers, and so forth. The principles disclosed herein can reduce both direct and indirect power consumption while maintaining either full cluster performance or adequate SLA based cluster performance. The method includes receiving at least one state data point regarding power consumption or temperature of at least one resource within the compute environment. Using intelligent policies to control power consumption, the method implements and interfaces with power managements facilities within the cluster, grid or on-demand center to either implement policies, make dynamic changes, make predictions or actions, and so forth to reduce one or more of the direct or indirect power consumption associated with a compute environment. The method can analyze current workload, future workload or both in taking energy saving actions in the environment. An aspect can also involve reporting state information and updating algorithms based on historical experience or outside sources of information such as the news or weather.

Claims

1. A method of managing energy consumption in a compute environment, the method comprising:

receiving data about a current state of a compute environment;

analyzing workload that is currently consuming resources in the compute environment; and

modifying the use of at least one resource in the compute environment in a manner related to energy consumption based on the received data and analysis of the workload.

2. The method of claim 1, wherein modifying at least one resource comprises placing at least one node in a low power starting mode.

3. The method of claim 1, wherein the received data is at least one of temperature and power consumption.

4. The method of claim 1, further comprising:

analyzing future workload that will be consumed in a compute environment and wherein the step of modifying at least one resource in the compute environment is based on the received data and the analysis of the current workload and the future workload.

5. The method of claim 1, wherein the at least one resource is a node or memory.

6. The method of claim 1, wherein the at least one resource relates to a cooling facility.

7. The method of claim 1, further comprising modifying the use of at least one resource by powering on or off the at least one resource.

8. A method of managing power consumption in a compute environment, the method comprising:

receiving a current state of a compute environment;

analyzing workload to be consumed in the compute environment;

predicting at least one power consumption saving action based on the current state and analyzed workload to be consumed in the compute environment; and

implementing a predicted at least one power consumption saving action in the compute environment.

9. The method of claim 8, wherein the power consumption saving action is one of:

powering down a node, powering down memory, spinning down a disk, lowering a clock speed of a processor, powering down a hard drive, and placing a resource in a low power consumption mode.

10. The method of claim 8, further comprising:

analyzing the compute environment and workload as the workload consumes resources in the compute environment; and

dynamically adjusting the implemented and predicted at least one power consumption saving action based on the analysis.

11. The method of claim 10, wherein dynamically adjusting further comprises one of:

(1) increasing or decreasing a number of powered down nodes from an implemented amount;

or

(2) increasing or decreasing an amount of powered down memory from an implemented amount.

12. A method of managing power consumption in a compute environment, the method comprising:

receiving a current power consumption state of a compute environment;

analyzing queued jobs scheduled to consume resources in the compute environment;

predicting power consumption when at least one of the queued jobs is consumed in the compute environment; and

consuming the at least one job in the compute environment with at least one power consumption saving action.

13. The method of claim 12, wherein the at least one power consumption saving action is one of:

job migration within the compute environment, job migration to a second compute environment, adjusting a cooling system, and adjusting power consumption of at least one resource in the compute environment.

14. The method of claim 12, wherein the at least one power consumption saving action relates to modifying use of a cooling facility associated with the compute environment.

15. The method of claim 14, wherein modifying the cooling facility includes pre-cooling resources in the compute environment prior to consuming the at least one job.

16. The method of claim 12, wherein the at least one power consumption saving action is modifying a data prestaging reservation.