Enhancement of Distributed Network System using Fuzzy Based Load Balancing & Task Scheduling Technique

Abstract

-Load balancing problem in distributed network system are the challenging research area in computer science and engineering. In distributed system network, task scheduling and load balancing mechanism has lots of issues as there is no centralized system to assign the work-load among multiple processing nodes. In this research paper, a fuzzy based load balancing and task scheduling technique is proposed to enhance the performance of distributed network system. Firstly, clusters are created and coordinator node is elected which has bigger memory size and high CPU speed. Tasks are divided into flexible and non-flexible using task prioritizing strategy. Non-Flexible tasks have more priority than flexible tasks. For non-flexible tasks, required information of computing nodes such as CPU speed, work-load and distance from cluster coordinator are passed through the fuzzy system. As an output, node state is obtained. Non-flexible tasks are assigned to processing node according to node states. A simulation result shows the efficiency of our technique.