@Article{2018.100000043,
AUTHOR = {Moazam Ali, Susmit Bagchi},
TITLE = {Hybrid Architecture for Autonomous Load Balancing in Distributed Systems Based on Smooth Fuzzy Function},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {24},
YEAR = {2018},
NUMBER = {4},
PAGES = {0--0},
URL = {http://www.techscience.com/iasc/v24n4/39812},
ISSN = {2326-005X},
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.},
DOI = {10.31209/2018.100000043}
}