TY - JOUR T1 - A Fuzzy Intra-Clustering Approach for Load Balancing in Peer-to-Peer System AU - R. Bhardwaj, V.S. Dixit and A. Upadhyay JO - Journal of Information and Computing Science VL - 1 SP - 019 EP - 024 PY - 2024 DA - 2024/01 SN - 7 DO - http://doi.org/ UR - https://global-sci.org/intro/article_detail/jics/22659.html KW - heavy weighted, light weighted, fuzzy system, clustering, load balancing AB - Load balancing algorithms goal is to keep all nodes normally loaded through migration of modules from heavy loaded nodes to lightly loaded 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 node as heavy, light or normal loaded node is done by using concept of threshold level, which is fixed and predefined. Now, today scenario is to change the status of nodes dynamically according to the state of system. So that, in this paper we proposed an algorithm for load balancing using fuzzy clustering; which improves the performance of the system without pre-defining the threshold values. 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.

R. Bhardwaj, V.S. Dixit and A. Upadhyay. (2024). A Fuzzy Intra-Clustering Approach for Load Balancing in Peer-to-Peer System. Journal of Information and Computing Science. 7 (1). 019-024. doi: