A Fuzzy Intra-Clustering Approach for Load Balancing in Peer-to-Peer System
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@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}
}
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:
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