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:
May. 14, 2013

Filed:

Aug. 20, 2010
Applicants:

Sunil Bharadwaj, Portland, OR (US);

Stephen A. Byrd, Sunnyvale, CA (US);

David L. Merbach, Rochester, MN (US);

Sumant Padbidri, San Jose, CA (US);

William Tuminaro, San Jose, CA (US);

Kevin J. Webster, Lake Worth, FL (US);

LI Zhou, Fremont, CA (US);

Inventors:

Sunil Bharadwaj, Portland, OR (US);

Stephen A. Byrd, Sunnyvale, CA (US);

David L. Merbach, Rochester, MN (US);

Sumant Padbidri, San Jose, CA (US);

William Tuminaro, San Jose, CA (US);

Kevin J. Webster, Lake Worth, FL (US);

Li Zhou, Fremont, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 15/173 (2006.01);
U.S. Cl.
CPC ...
Abstract

Techniques for identifying and selecting equivalent sets of agents with defined capabilities to perform certain actions are disclosed herein. In one embodiment, determining agents to gather information for a storage area network fabric may be performed through the use of fabric discovery operations which identify agents capable of performing various actions within the fabric. From the determined capabilities of the agents, a dynamic capability grid may be populated to assist with the generation of a list of equivalent subsets to perform the various actions. The most efficient set of agents from each equivalent subset may then be selected to perform actions, with other sets of agents in the equivalent subset available as secondary choices in case of an unexpected failure. For example, a fabric probe may be executed in a storage area network using discovered agents from a list of equivalent subsets to most efficiently accomplish network operations such as zoning and topology.


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