Efficient Agent Based Priority Scheduling and LoadBalancing Using Fuzzy Logic in Grid Computing

Neeraj Kumar Rathore*
Assistant Professor, Department of Computer Science and Engineering, Jaypee University of Engineering and Technology, Guna, India.
Periodicity:September - November'2015
DOI : https://doi.org/10.26634/jcom.3.3.3661


Grid computing is the process of applying more computer resources to solve the complex problem. Load balancing and resource management are the major problems in grid computing. The goal of the load balancing algorithms is to allocate the load on grid resources to exploit their utilization while decreasing the total task execution time. To overcome these problems, the author has proposed an efficient agent based priority scheduling and fuzzy logic load balancing algorithm. The major role of priority scheduling is to assign priority to jobs and to assign jobs to available resources. After scheduling the jobs to resource, loads are balanced using the fuzzy rules. In this proposed scheme, the fuzzy rules are generated using the resource CPU (Central Processing Unit) speed, memory capacity and current load. The performance analysis shows that, the proposed priority scheduling and fuzzy load balancing can improve the overall performance of the grid computing resource.


Grid Computing, Priority Scheduling, Load Balancing, Grid Agent, Fuzzy Logic, Resource Management.

How to Cite this Article?

Rathore, N. (2015). Efficient Agent Based Priority Scheduling and Load Balancing Using Fuzzy Logic in Grid Computing. i-manager’s Journal on Computer Science, 3(3), 11-22. https://doi.org/10.26634/jcom.3.3.3661


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