Managing data center power consumption

Patent metadata

Field	Value
Publication number	US-10042410-B2
Application number	US-201514736564-A
Country	US
Kind code	B2
Filing date	Jun 11, 2015
Priority date	Jun 11, 2015
Publication date	Aug 7, 2018
Grant date	Aug 7, 2018

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.

First claim

What is claimed is:

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.

Assignees

• IBM

Inventors

• Malik Pooja
• Yadav Vikram

Classifications

• G06F1/3206 Primary

  Monitoring of events, devices or parameters that trigger a change in power modality · CPC title

• G06F1/329

  by task scheduling · CPC title

• H04L41/5003

  Managing SLA; Interaction between SLA and QoS · CPC title

• G06F9/5094

  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 title

• H04L41/5054

  Automatic deployment of services triggered by the service manager, e.g. service implementation by automatic configuration of network components · CPC title