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:
Dec. 27, 2016

Filed:

Mar. 23, 2016
Applicant:

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

Inventors:

Rahul P. Akolkar, Tuckaahoe, NY (US);

Arun Iyengar, Yorktown Heights, NY (US);

Shicong Meng, Elmsford, NY (US);

Isabelle Rouvellou, New York, NY (US);

Ignacio Silva-Lepe, Putnam Valley, NY (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 15/173 (2006.01); H04L 12/26 (2006.01); H04L 12/911 (2013.01); H04L 12/24 (2006.01); G06F 9/50 (2006.01);
U.S. Cl.
CPC ...
H04L 43/04 (2013.01); G06F 9/5005 (2013.01); H04L 41/147 (2013.01); H04L 41/5096 (2013.01); H04L 47/70 (2013.01); H04L 47/823 (2013.01); G06F 2209/5019 (2013.01); H04L 47/822 (2013.01);
Abstract

Various embodiments predict performance of a system including a plurality of server tiers. In one embodiment, a first set of performance information is collected for a base allocation of computing resources across multiple server tiers in the plurality of sever tiers for a set of workloads. A set of experimental allocations of the computing resources is generated on a tier-by-tier basis. Each of the set of experimental allocations varies the computing resources allocated by the base allocation for a single server tier of the multiple server tiers. A second set of performance information associated with the single server tier for each of the set of experimental allocations is collected for a plurality of workloads. At least one performance characteristic of at least one candidate allocation of computing resources across the multiple server tiers is predicted for a given workload based on the first and second sets of performance information.


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