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.:
Date of Patent:
Mar. 27, 2012
Filed:
Sep. 30, 2008
Ludmila Cherkasova, Sunnyvale, CA (US);
Timothy W. Wood, Amherst, MA (US);
Ludmila Cherkasova, Sunnyvale, CA (US);
Timothy W. Wood, Amherst, MA (US);
Hewlett-Packard Development Company, L.P., Houston, TX (US);
Abstract
Described herein is a method for optimizing a prediction of resource usage of an application running in a virtual environment, comprising: providing a predetermined set of benchmarks, wherein the predetermined set of benchmarks; executing the predetermined set of benchmarks in a native hardware system in which the application natively resides; executing the predetermined set of benchmarks in the virtual environment; collecting first traces of first resource utilization metrics in the native hardware system based on the execution of the predetermined set of benchmarks in the native hardware system; collecting second traces of second resource utilization metrics in the virtual environment based on the execution of the predetermined set of benchmarks in the virtual environment; generating a first prediction model and a second prediction model; generating a third prediction model that maps all of the first traces of the selected first metric to the second traces of resource utilization metrics; comparing the first and second prediction models against the third prediction model; and predicting a resource usage of the application running in the virtual environment with either a) a combination of the first and second prediction models or b) the third prediction model based on the comparing.