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. 30, 2010

Filed:

Mar. 27, 2006
Applicants:

Genady Grabarnik, Scarsdale, NY (US);

Moon Ju Kim, Wappingers Falls, NY (US);

Lev Kozakov, Stamford, CT (US);

Volodimir F. Lemberg, Ossining, NY (US);

Larisa Shwartz, Scarsdale, NY (US);

Inventors:

Genady Grabarnik, Scarsdale, NY (US);

Moon Ju Kim, Wappingers Falls, NY (US);

Lev Kozakov, Stamford, CT (US);

Volodimir F. Lemberg, Ossining, NY (US);

Larisa Shwartz, Scarsdale, NY (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 1/02 (2006.01); G06F 7/32 (2006.01); G06F 7/60 (2006.01); G06F 9/44 (2006.01); G06F 13/10 (2006.01); G06F 13/12 (2006.01); G06F 15/18 (2006.01); G06F 17/10 (2006.01); G06F 17/15 (2006.01); G06E 1/00 (2006.01); G06E 3/00 (2006.01); G06G 7/00 (2006.01);
U.S. Cl.
CPC ...
Abstract

In general, the present invention provides a method, system and program product for approximating/estimating computer resource consumption of a computer system. Specifically, under the present invention, a more efficient or reduced computer work gradient matrix (hereinafter 'matrix') is first built. This occurs by creating load measurements for a set of computer resource metrics of the computer system to analyze dependencies between different computer resource metrics. Then, a correlation matrix between the set of computer resource metrics is created based on the dependencies. The set of computer system resource metrics in the correlation matrix is thereafter clustered into a set of clusters, and a reduced matrix is built based thereon. Once the reduced matrix is built, it can be restored to a 'full' matrix using linear transformation or the like.


Find Patent Forward Citations

Loading…