@article{MAKHILLIJSC20149221188,
    title = {Arbitrary Selection for Agitate Flexible Load Balancing in Heterogeneous Peer to Peer Networks},
    journal = {International Journal of Soft Computing},
    volume = {9},
    number = {2},
    pages = {95-102},
    year = {2014},
    issn = {1816-9503},
    doi = {ijscomp.2014.95.102},
    url = {https://makhillpublications.co/view-article.php?issn=1816-9503&doi=ijscomp.2014.95.102},
    author = {P. and},
    keywords = {Peer to peer network,traffic control,load balancing,Tremendous Store Model,load diversions,rbitrary selection,heterogeneous,heterogeneous},
    abstract = {Peer to peer network access is the integral part of the day to day business 
  for most of the computer users. Preserving load balance on heterogeneous peer 
  to peer networks is a challenging purpose and several existing works presented 
  Load Redistribution algorithms for load division and load diversions at the 
  instance the new peer enters. The aim of load balancing in P2P networks is to 
  equilibrium the workload of the network nodes in quantity but lacks to eliminate 
  traffic occurring in the routes of the P2P network efficiently. In this study, 
  the behaviors are characterized by eliminating the traffic using the Arbitrary 
  Selection Load Balancing (ASLB) approach with Tremendous Store Model. Tremendous 
  Store Model is investigated to extend the impact of node heterogeneity and agitate 
  to the load distribution in P2P networks. The performance of the Arbitrary Selection 
  Load Balancing (ASLB) approach with Tremendous Store Model reduces the network 
  traffic routes with minimal cost of P2P in contrast to existing saturn load 
  balancing scheme. An analytical and empirical result offers a collision free 
  system with the quantization of information by balancing the load in the P2P 
  network system. Performance of the arbitrary selection load balancing is measured 
  in terms of peer failure probability and traffic control efficiency.}
    }