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

Rupali Bhardwaj, V. S. Dixit and Anil Upadhyay
Additional contact information
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

International Journal of Fuzzy System Applications (IJFSA), 2013, vol. 3, issue 1, 82-93

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.

Date: 2013
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/ijfsa.2013010105 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jfsa00:v:3:y:2013:i:1:p:82-93

Access Statistics for this article

International Journal of Fuzzy System Applications (IJFSA) is currently edited by Deng-Feng Li

More articles in International Journal of Fuzzy System Applications (IJFSA) from IGI Global
Bibliographic data for series maintained by Journal Editor ().