Open Access
ARTICLE
Hybrid Architecture for Autonomous Load Balancing in Distributed Systems Based on Smooth Fuzzy Function
Moazam Ali, Susmit Bagchi*
Department of Aerospace and Software Engineering (Informatics), Gyeongsang National University, Jinju, South Korea
* Corresponding Author: Susmit Bagchi,
Intelligent Automation & Soft Computing 2018, 24(4), . https://doi.org/10.31209/2018.100000043
Abstract
Due to the rapid advancements and developments in wide area networks and
powerful computational resources, the load balancing mechanisms in distributed
systems have gained pervasive applications covering wired as well as mobile
distributed systems. In large-scale distributed systems, sharing of distributed
resources is required for enhancing overall resource utilization. This paper
presents a comprehensive study and detailed comparative analysis of different
load balancing algorithms employing fuzzy logic and mobile agents. We have
proposed a hybrid architecture for integrated load balancing and monitoring in
distributed computing systems employing fuzzy logic and autonomous mobile
agents. Furthermore, we have proposed a smooth and composite fuzzy
membership function in order to model fine grained load information in a
system. The simulation study and a detailed qualitative as well as quantitative
analysis of algorithmic performances are presented. Lastly, a deployment
environment is described.
Keywords
Cite This Article
M. Ali and S. Bagchi, "Hybrid architecture for autonomous load balancing in distributed systems based on smooth fuzzy function,"
Intelligent Automation & Soft Computing, vol. 24, no.4, pp. 0–0, 2018. https://doi.org/10.31209/2018.100000043