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Cited 3 time in webofscience Cited 6 time in scopus
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A comparative study and analysis of agent based monitoring and fuzzy load balancing in distributed systems

Authors
Ali, MoazamBagchi, Susmit
Issue Date
2019
Publisher
INDERSCIENCE ENTERPRISES LTD
Keywords
distributed computing; load balancing; fuzzy logic; load monitoring; software agents
Citation
INTERNATIONAL JOURNAL OF COMMUNICATION NETWORKS AND DISTRIBUTED SYSTEMS, v.22, no.1, pp 1 - 35
Pages
35
Indexed
SCOPUS
ESCI
Journal Title
INTERNATIONAL JOURNAL OF COMMUNICATION NETWORKS AND DISTRIBUTED SYSTEMS
Volume
22
Number
1
Start Page
1
End Page
35
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/10908
DOI
10.1504/IJCNDS.2019.096520
ISSN
1754-3916
1754-3924
Abstract
Load balancing algorithms are designed to achieve efficient resource utilisation in large-scale distributed systems. The primary goal of designing load balancing algorithms is to balance the overall workload among all the nodes in distributed systems to improve the performance. This paper presents an in-depth study and detailed comparative analysis of different load monitoring and balancing algorithms employing fuzzy logic and mobile agents. A detailed qualitative as well as quantitative analysis of algorithmic performances is included. The analytical survey presented in this paper would enable understanding of applications of different algorithms under different computing environments. Furthermore, this paper proposes a hybrid architecture combining fuzzy logic and mobile agents for load balancing and monitoring in distributed systems.
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