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.

Patent No.:

US 9665154 B1

PDF
Full Text
Expired
Date of Patent:
May. 30, 2017

Filed:

May. 31, 2013
Applicant:

Lenovo Enterprise Solutions (Singapore) Pte. Ltd., Singapore, SG;

Inventors:

Anand Haridass, Karnataka, IN;

Prasanna Jayaraman, Karnataka, IN;

Tony E. Sawan, Austin, TX (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 1/32 (2006.01); G06F 9/50 (2006.01);
U.S. Cl.
CPC ...
G06F 1/3206 (2013.01); G06F 1/324 (2013.01); G06F 1/3296 (2013.01); G06F 9/5094 (2013.01); G06F 9/5088 (2013.01); Y02B 60/1217 (2013.01); Y02B 60/1285 (2013.01); Y02B 60/142 (2013.01); Y02B 60/162 (2013.01);
Abstract

A computer-implemented method includes capping the amount of power available to each of a plurality of compute nodes, and managing power allocation among subsystems within each of the compute nodes according to the requirements of workloads assigned to each of the compute nodes. The method further comprises reporting an actual performance level and performance capability for each subsystem within each of the plurality of compute nodes, and monitoring parametric data for a particular workload. A target compute node is identified from among the compute nodes, wherein the target compute node would be capable of performing the particular workload if power was reallocated from a first subsystem to a second subsystem within the target compute node. The particular workload is then assigned to the target compute node. Optionally, assigning the particular workload may include migrating the workload to the target compute node from another of the compute nodes.


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