Managing data center power consumption

• US 10,042,410 B2
• Filed: 06/11/2015
• Issued: 08/07/2018
• Est. Priority Date: 06/11/2015
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Malik, Pooja, Yadav, Vikram
• Primary Examiner(s): Prifti, Aurel
• Application Number:
  US14/736,564
• Publication Number:
  US 20160363987A1
• Time in Patent Office: 1,153 Days
• Field of Search: 713320, 713300, 713322, 713310, 713 2, 700291, 718 1, 455410
• CPC Class Codes: G06F 1/3206 Monitoring of events, devices or parameters that trigger a change in power modality
• CPC Class Codes: G06F 1/329 by task scheduling
• CPC Class Codes: G06F 9/50 Allocation of resources, e.g. of the central processing unit [CPU]
• 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: H04L 41/5003 Managing SLA; Interaction between SLA and QoS
• CPC Class Codes: H04L 41/5054 Automatic deployment of services triggered by the service manager, e.g. service implementation by automatic configuration of network components
• CPC Class Codes: Y02D 10/00 Energy efficient computing, e.g. low power processors, power management or thermal management

Abstract

One or more processors determine an energy consumption need of a computing network. One or more processors lower an energy consumption level of one or more nodes in the computing network based, at least in part, on the energy consumption need. One or more processors raise the energy consumption level of at least one of the one or more nodes in the computing network in a dynamic response to a service request.

Claims

1. A method comprising:

determining, by one or more processors, an energy consumption need of a computing network;

determining, by one or more processors, an energy cost to power on and power off one or more nodes in the computing network;

lowering, by one or more processors, an energy consumption level of at least one or more nodes in the computing network based, at least in part, on the energy consumption need and the determined energy cost; and

raising, by one or more processors, the energy consumption level of at least one of the at least one or more nodes in the computing network in a dynamic response to a service request.

2. The method of claim 1, wherein the step of lowering, by one or more processors, an energy consumption level of at least one or more nodes in the computing network based, at least in part, on the energy consumption need further comprises:

lowering, by one or more processors, an energy consumption level of at least one or more nodes in the computing network based, at least in part, on the energy consumption need and an analysis of a past level of use for the one or more nodes in the computing network.

3. The method of claim 1 further comprising:

determining, by one or more processors, whether to execute the service request based, at least in part, on an analysis of a capability of the computing network to provide the service request.

4. The method of claim 1 further comprising:

determining, by one or more processors, whether to execute the service request based, at least in part, on whether a service agreement can be satisfied if the service request is executed.

5. The method of claim 1, wherein the computing network is an infrastructure as a service (IaaS) provider.

6. The method of claim 1, wherein the step of raising, by one or more processors, the energy consumption level of at least one of the at least one or more nodes in the computing network in a dynamic response to a service request further comprises:

scheduling, by one or more processors, a job requested by a client at a time when the at least one or more nodes in the computing network can execute the job under one or more service agreement criteria.

7. The method of claim 1, wherein the at least one or more nodes in a computing network further comprise:

one or more of a controller, a computer, and a storage node in a computer network.

8. A computer program product comprising:

one or more computer-readable storage media and program instructions stored on at least one of the one or more computer-readable storage media, the program instructions comprising;

program instructions to determine an energy consumption need of a computing network;

program instructions to determine an energy cost to power on and power off one or more nodes in the computing network;

program instructions to lower an energy consumption level of at least one or more nodes in the computing network based, at least in part, on the energy consumption need and the determined energy cost; and

program instructions to raise the energy consumption level of at least one of the at least one or more nodes in the computing network in a dynamic response to a service request.

9. The computer program product of claim 8, wherein the program instructions to lower an energy consumption level of at least one or more nodes in the computing network based, at least in part, on the energy consumption need further comprises:

program instructions to lower an energy consumption level of at least one or more nodes in the computing network based, at least in part, on the energy consumption need and an analysis of a past level of use for the one or more nodes in the computing network.

10. The computer program product of claim 8 further comprising:

program instructions to determine whether to execute the service request based, at least in part, on an analysis of a capability of the computing network to provide the service request.

11. The computer program product of claim 8 further comprising:

program instructions to determine whether to execute the service request based, at least in part, on whether a service agreement can be satisfied if the service request is executed.

12. The computer program product of claim 8, wherein the computing network is an infrastructure as a service (IaaS) provider.

13. The computer program product of claim 8, wherein the program instructions to raise the energy consumption level of at least one of the at least one or more nodes in the computing network in a dynamic response to a service request further comprises:

program instructions to schedule a job requested by a client at a time when the at least one or more nodes in the computing network can execute the job under one or more service agreement criteria.

14. The computer program product of claim 8, wherein the at least one or more nodes in a computing network further comprise:

one or more of a controller, a computer, and a storage node in a computer network.

15. A computer system comprising:

one or more computer processors;

one or more computer-readable storage media; and

program instructions stored on at least one of the one or more computer-readable storage media for execution by at least one of the one or more processors, the program instructions comprising;

program instructions to determine an energy consumption need of a computing network;

program instructions to determine an energy cost to power on and power off one or more nodes in the computing network;

program instructions to lower an energy consumption level of at least one or more nodes in the computing network based, at least in part, on the energy consumption need and the determined energy cost; and

program instructions to raise the energy consumption level of at least one of the at least one or more nodes in the computing network in a dynamic response to a service request.

16. The computer system product of claim 15, wherein the program instructions to lower an energy consumption level of at least one or more nodes in the computing network based, at least in part, on the energy consumption need further comprises:

program instructions to lower an energy consumption level of at least one or more nodes in the computing network based, at least in part, on the energy consumption need and an analysis of a past level of use for the one or more nodes in the computing network.

17. The computer system product of claim 15 further comprising:

program instructions to determine whether to execute the service request based, at least in part, on an analysis of a capability of the computing network to provide the service request.

18. The computer system product of claim 15 further comprising:

program instructions to determine whether to execute the service request based, at least in part, on whether a service agreement can be satisfied if the service request is executed.

19. The computer system product of claim 15, wherein the computing network is an infrastructure as a service (IaaS) provider.

20. The computer system product of claim 15, wherein the program instructions to raise the energy consumption level of at least one of the at least one or more nodes in the computing network in a dynamic response to a service request further comprises:

program instructions to schedule a job requested by a client at a time when the at least one or more nodes in the computing network can execute the job under one or more service agreement criteria.