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

An Efficient and Adaptive Decentralized File Replication Algorithm in P2P File Sharing 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

1 Author(s)
Haiying Shen ; Holcombe Dept. of Electr. & Comput. Eng., Clemson Univ., Clemson, SC, USA

In peer-to-peer file sharing systems, file replication technology is widely used to reduce hot spots and improve file query efficiency. Most current file replication methods replicate files in all nodes or two end points on a client-server query path. However, these methods either have low effectiveness or come at a cost of high overhead. File replication in server side enhances replica hit rate, hence, lookup efficiency but produces overloaded nodes and cannot significantly reduce query path length. File replication in client side could greatly reduce query path length, but cannot guarantee high replica hit rate to fully utilize replicas. Though replication along query path solves these problems, it comes at a high cost of overhead due to more replicas and produces underutilized replicas. This paper presents an Efficient and Adaptive Decentralized (EAD) file replication algorithm that achieves high query efficiency and high replica utilization at a significantly low cost. EAD enhances the utilization of file replicas by selecting query traffic hubs and frequent requesters as replica nodes, and dynamically adapting to nonuniform and time-varying file popularity and node interest. Unlike current methods, EAD creates and deletes replicas in a decentralized self-adaptive manner while guarantees high replica utilization. Theoretical analysis shows the high performance of EAD. Simulation results demonstrate the efficiency and effectiveness of EAD in comparison with other approaches in both static and dynamic environments. It dramatically reduces the overhead of file replication, and yields significant improvements on the efficiency and effectiveness of file replication in terms of query efficiency, replica hit rate, and overloaded nodes reduction.

Published in:

Parallel and Distributed Systems, IEEE Transactions on  (Volume:21 ,  Issue: 6 )

Date of Publication:

June 2010

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.