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:
Feb. 02, 2016

Filed:

Aug. 28, 2012
Applicants:

Milton A. Bonilla, Carmel, NY (US);

Soobaek Jang, Hamden, CT (US);

Thanh T. Pham, San Jose, CA (US);

Dmitry Rekesh, Castro Valley, CA (US);

Peter P. Rodriguez, Pleasanton, CA (US);

Kathleen H. Sittler, Delray Beach, FL (US);

Brian J. Snitzer, Lancaster, PA (US);

Inventors:

Milton A. Bonilla, Carmel, NY (US);

Soobaek Jang, Hamden, CT (US);

Thanh T. Pham, San Jose, CA (US);

Dmitry Rekesh, Castro Valley, CA (US);

Peter P. Rodriguez, Pleasanton, CA (US);

Kathleen H. Sittler, Delray Beach, FL (US);

Brian J. Snitzer, Lancaster, PA (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 15/173 (2006.01); G06Q 30/00 (2012.01); H04L 12/24 (2006.01);
U.S. Cl.
CPC ...
G06Q 30/00 (2013.01); H04L 41/0823 (2013.01); H04L 41/12 (2013.01); H04L 41/145 (2013.01); G06F 2209/501 (2013.01); H04L 41/5019 (2013.01);
Abstract

An approach is provided for optimizing service factors for computing resources in a networked computing environment. Specifically, under one approach, a cloud broker/aggregator, a cloud offering optimizer, and a user workload optimizer may be provided. The cloud aggregator may aggregate information/data pertaining to a set of service factors associated with a set of resources distributed among a set of deployment groups (e.g., cloud pods). The cloud offering optimizer may analyze this information and may determine a reallocation plan to optimize values of the service factors associated with the set of resources. The user workload optimizer may then receive the reallocation plan from the cloud offering optimizer and/or application event information, and modify the deployment topology accordingly.


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