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Load Balancing in Peer-to-Peer System Using Fuzzy C-Means Clustering

Load Balancing in Peer-to-Peer System Using Fuzzy C-Means Clustering

Rupali Bhardwaj, V. S. Dixit, Anil Upadhyay
Copyright: © 2013 |Volume: 3 |Issue: 1 |Pages: 12
ISSN: 2156-177X|EISSN: 2156-1761|EISBN13: 9781466631458|DOI: 10.4018/ijfsa.2013010105
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MLA

Bhardwaj, Rupali, et al. "Load Balancing in Peer-to-Peer System Using Fuzzy C-Means Clustering." IJFSA vol.3, no.1 2013: pp.82-93. http://doi.org/10.4018/ijfsa.2013010105

APA

Bhardwaj, R., Dixit, V. S., & Upadhyay, A. (2013). Load Balancing in Peer-to-Peer System Using Fuzzy C-Means Clustering. International Journal of Fuzzy System Applications (IJFSA), 3(1), 82-93. http://doi.org/10.4018/ijfsa.2013010105

Chicago

Bhardwaj, Rupali, V. S. Dixit, and Anil Upadhyay. "Load Balancing in Peer-to-Peer System Using Fuzzy C-Means Clustering," International Journal of Fuzzy System Applications (IJFSA) 3, no.1: 82-93. http://doi.org/10.4018/ijfsa.2013010105

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Abstract

Objective of load balancing algorithm is to keep all nodes normally loaded through migration of modules from heavy weighted nodes to light weighted nodes. In addition, load balancing must involve low communication overhead and respond quickly to load imbalance in the system. In previous load balancing algorithms, classification of nodes is done by using threshold value; which is fixed and predefined. In this paper, the authors proposed load balancing algorithm using fuzzy c-means clustering which changed the status of nodes dynamically according to the state of system. The proposed algorithm is compared with other existing algorithms and is found to be fast and efficient in reducing load imbalance in peer-to-peer system.

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