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An Effective Self-adaptive Load Balancing Algorithm for Peer-to-Peer Networks

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5 Author(s)
Naixue Xiong ; Sch. of Inf. Technol., Jiangxi Univ. of Finance & Econ., Nanchang, China ; Kaihua Xu ; Lilong Chen ; Yang, L.T.
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The field of parallel and distributed computing has become increasingly significant as recent advances in electronic and integrated circuit technologies. Peer-to-Peer (P2P) cloud computing networks are the largest contributor of network traffic on the Internet. Measurement plays an important role in different P2P applications, we should enhance the measurement-based optimization of P2P networking and applications. In especial, to enhance the file sharing efficiency in P2P networks while reducing the inter-domain traffic, extensive schemes are proposed and file sharing is becoming seriously concerned. However, difference in ability, free-riding behavior and high churn have caused great unbalance on load degree between high speed network nodes. This paper presents a self-adaptive load balancing algorithm, where nodes create binary tree back-up node tables for their shared hot files automatically, and transfer extra query quest connection sent originally to heavy-load nodes and to back-up nodes. The experimental results reveal our algorithm can reduce load degree of heavy-load nodes and bring ideal balance between high speed network nodes, although under high churn, it also has balance effect and lower load degree of the whole network systems.

Published in:

Parallel and Distributed Processing Symposium Workshops & PhD Forum (IPDPSW), 2012 IEEE 26th International

Date of Conference:

21-25 May 2012

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