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:
Sep. 04, 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 scaling a prediction model of resource usage of an application in a virtual environment, comprising: providing a predetermined set of benchmarks, wherein the predetermined set of benchmarks includes at least one of: a computation-intensive workload, a network-intensive workload, and a disk-intensive workload; executing the predetermined set of benchmarks in a first native hardware system in which the application natively resides; executing the predetermined set of benchmarks in the virtual environment; generating at least one first prediction model that predicts a resource usage of the application running in the virtual environment based on the executions of the predetermined set of benchmarks in the first native hardware system and the virtual environment; determining a resource usage of the application running in a second native hardware system in which the application also natively resides; generating at least one second prediction model based on a scaling of the at least one first prediction model by a predetermined constant; and predicting a resource usage of the application running in the virtual environment based on the resource usage of the application running in the second native hardware system and the at least one second prediction model.