Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Click here to sign up for SAGE Journal Email Alerts today!

Sign In to gain access to subscriptions and/or personal tools.
International Journal of High Performance Computing Applications
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in Web of Science
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Trivedi, R.
Right arrow Articles by Weissman, J.
Right arrow Search for Related Content
Social Bookmarking
Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

Heterogeneity-Aware Workload Distribution in Donation-Based Grids

Rahul Trivedi

Trivedi{at}cs.umn.edu

Abhishek Chandra

Jon Weissman

Department of Computer Science and Engineering, University of Minnesota – Twin Cities

In this paper, we explore the trade-offs and opportunities in porting a high-throughput Grid computing middleware to a high-performance service oriented environment. We present the limitations of the Grid computing middleware when operating in such a performance sensitive enviroment and suggest ways of overcoming these limitations. We focus on exploiting the computation and communiction heterogeneity of the Grid resources to meet the peformance requirements of services, and present several approaches of work distribution that deal with this hetergeneity. We also present a heuristic for finding the best decomposition of work and present algorithms for each of the approaches which we evaluate on a PlanetLab tesbed. The results validate the heuristic and indicate that a significant improvement in performance can be achieved by making the Grid computing middleware aware of the heterogeneity in the underlying infrastructure. The results also provide some useful insights into selecting a work distribution policy based on the dynamic status of the Grid computing environment.

Key Words: Resource aware scheduling • service-oriented computing • load sharing • grid computing

International Journal of High Performance Computing Applications, Vol. 20, No. 4, 455-466 (2006)
DOI: 10.1177/1094342006068408
Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?