A comparative study and analysis of agent based monitoring and fuzzy load balancing in distributed systems. (2019)

• Record Type: Journal Article
• Authors: Ali, Moazam; Bagchi, Susmit
• Is Part Of: International journal of communication networks and distributed systems. Volume 22:Number 1(2019)
• Page Start: 1
• Page End: 35
• Publication Date: 2019
• Subjects: distributed computing -- load balancing -- fuzzy logic -- load monitoring -- software agents; Computer networks -- Periodicals; Telecommunication systems -- Periodicals; Electronic data processing -- Distributed processing -- Periodicals; 004.6
• Languages: English
• ISSNs: 1754-3916

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.