Cart (Loading....) | Create Account
Close category search window

Towards efficient load balancing in structured P2P systems

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)
Yingwu Zhu ; Dept. of ECECS, Cincinnati Univ., OH, USA ; Yiming Hu

Summary form only given. Many solutions have been proposed to tackle the problem of load balancing in structured P2P systems. However, all these solutions either ignore the heterogeneity nature of the system, or reassign loads among nodes without considering proximity relationships, or both. We propose an efficient scheme to ensure fair load distribution in such P2P systems by utilizing proximity information. To our knowledge, this is the first work to utilize the proximity information to guide load balancing. In particular, our main contributions are: (1) A self-organized, fully distributed K-nary tree structure is constructed on top of a distributed hash table (DHT) for load balancing information collection/dissemination and load reassignment. (2) Load balancing is achieved by aligning those two skews in load distribution and node capacity inhere in P2P systems - that is, have higher capacity nodes carry more loads. (3) Proximity information is utilized to guide load balancing such that loads are assigned and transferred between physically close heavy nodes and light nodes, thereby minimizing the load transferring overhead and allowing load balancing to perform more efficiently.

Published in:

Parallel and Distributed Processing Symposium, 2004. Proceedings. 18th International

Date of Conference:

26-30 April 2004

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.