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

Author

Listed:
  • Rupali Bhardwaj

    (Ajay Kumar Garg Engineering College, Ghaziabad, Uttar Pradesh, India)

  • V. S. Dixit

    (Department of Computer Science, Delhi University, Delhi, India)

  • Anil Upadhyay

    (Bipin Chnadra Tripathi Kumaon Engineering College, Ranikhet, Uttarakhand, India)

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.

Suggested Citation

  • Rupali Bhardwaj & V. S. Dixit & Anil Upadhyay, 2013. "Load Balancing in Peer-to-Peer System Using Fuzzy C-Means Clustering," International Journal of Fuzzy System Applications (IJFSA), IGI Global, vol. 3(1), pages 82-93, January.
    • Handle: RePEc:igg:jfsa00:v:3:y:2013:i:1:p:82-93
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