The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 22, 2016

Filed:

May. 30, 2013
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Nagapramod Mandagere, San Jose, CA (US);

Seshashayee S. Murthy, Yorktown Heights, NY (US);

Sandeep M. Uttamchandani, San Jose, CA (US);

Pin Zhou, San Jose, CA (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 15/173 (2006.01); G06F 1/26 (2006.01); G06F 1/32 (2006.01); G06F 9/50 (2006.01);
U.S. Cl.
CPC ...
G06F 1/26 (2013.01); G06F 1/3203 (2013.01); G06F 1/329 (2013.01); G06F 9/5088 (2013.01); G06F 9/5094 (2013.01); Y02B 60/142 (2013.01); Y02B 60/144 (2013.01); Y02B 60/162 (2013.01);
Abstract

A method and system for optimizing power consumption of a data center by dynamic workload adjustment. At least one candidate workload solution for the data center is generated. Each candidate workload solution represents a respective application map that specifies a respective workload distribution among application programs of the data center. Workload of the data center is dynamically adjusted from a current workload distribution to an optimal workload solution. The optimal workload solution is a candidate workload solution of the at least one candidate workload solution having a lowest sum of a respective power cost and a respective migration cost. Dynamically adjusting the workload of the data center includes: estimating a respective overall cost of each candidate workload solution, selecting the optimal workload solution that has a lowest overall cost as determined from the estimating, and transferring the optimal workload solution to devices of a computer system for deployment.


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