By Topic

Energy-Efficient Cluster Computing via Accurate Workload Characterization

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Huang, S. ; Dept. of Comput. Sci., Virginia Tech, Blacksburg, VA ; Feng, W.

This paper presents an eco-friendly daemon that reduces power and energy consumption while better maintaining high performance via an accurate workload characterization that infers ldquoprocessor stall cycles due to off-chip activities.rdquo The eco-friendly daemon is an interval-based, run-time algorithm that uses the workload characterization to dynamically adjust a processorpsilas frequency and voltage to reduce power and energy consumption with little impact on application performance. Using the NAS Parallel Benchmarks as our workload, we then evaluate our eco-friendly daemon on a cluster computer. The results indicate that our workload characterization allows the power-aware daemon to more tightly control performance (5% loss instead of 11%) while delivering substantial energy savings (11% instead of 8%).

Published in:

Cluster Computing and the Grid, 2009. CCGRID '09. 9th IEEE/ACM International Symposium on

Date of Conference:

18-21 May 2009