@Article{JICS-7-019,
author = {R. Bhardwaj, V.S. Dixit and A. Upadhyay},
title = {A Fuzzy Intra-Clustering Approach for Load Balancing in Peer-to-Peer System},
journal = {Journal of Information and Computing Science},
year = {2024},
volume = {7},
number = {1},
pages = {019--024},
abstract = { 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. 
},
issn = {1746-7659},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jics/22659.html}
}