Jump to content United States-English
HP.com Home Products and Services Support and Drivers Solutions How to Buy
» Contact HP

HP.com home

Technical Reports


HP Labs

» Research
» News and events
» Technical reports
» About HP Labs
» Careers @ HP Labs
» Worldwide sites
» Downloads
Content starts here

Click here for full text: Postscript PDF

Characterizing Application Workloads on CPU Utilization for Utility Computing

Abrahao, Bruno; Zhang, Alex


Keyword(s): capacity planning; principal component analysis; workload model; trace characterization and generation

Abstract: We analyze CPU utilization traces of multiple applications running on a shared set of processors in a utility computing environment and apply PCA (Principal Component Analysis) technique to characterize each application's workload. We show that, in our dataset, the 12 applications under examination can be characterized by just three features, namely, periodic, noisy, and spiky. We then use these principal components for classifying applications, detrending the CPU usage behavior, and generating synthetic traces with amplification or suppression of the desired features. The workload characteristics that we derive using the PCA approach help application owners to better understand the behaviors of their applications, and also enable the system operator to better plan for capacity usage.

8 Pages

Back to Index

»Technical Reports

» 2009
» 2008
» 2007
» 2006
» 2005
» 2004
» 2003
» 2002
» 2001
» 2000
» 1990 - 1999

Heritage Technical Reports

» Compaq & DEC Technical Reports
» Tandem Technical Reports
Printable version
Privacy statement Using this site means you accept its terms Feedback to HP Labs
© 2009 Hewlett-Packard Development Company, L.P.