Thursday 18th of April 2024
 

Enhanced Genetic Algorithm Based Load Balancing in Grid


Sandip Kumar Goyal and Manpreet Singh

Load Balancing (LB) has been an increasingly important issue for handling computational intensive task in a grid system. By developing strategies that can schedule such tasks to resources in a way that balance out the load, the total processing time will be reduced with improved resource utilization. In this paper, an Enhanced Genetic Algorithm (EGA) is proposed for achieving task scheduling with load balancing. The simulation results show that proposed algorithm yields better performance when compared with other traditional heuristic approaches.

Keywords: Load Balancing, Task Scheduling, Genetic Algorithm, Grid.

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ABOUT THE AUTHORS

Sandip Kumar Goyal
Sandip Kumar Goyal received his B.Tech., M.Tech. from Kurukshetra University, Kurukshetra, India and is currently enrolled as a Ph.D. scholar in the department of Computer Science and Engineering at M.M.University, Haryana, India. He is presently serving as Assoc. Professor in Computer Engineering Department of M.M. Engineering College, Mullana, Ambala. He is in teaching since 2000. He has published 8 research papers in International and National journals and conferences. He has supervised several M.Tech. Dissertations. His research area is Load balancing Methodologies in distributed environment.

Manpreet Singh
Dr. Manpreet Singh received his B. Tech., M.Tech. and Ph.D. from Kurukshetra University, Kurukshetra, India. He is presently serving as Professor and Head, Computer Science and Engineering Department of M. M. Engineering College, Mullana, Ambala. He has about 13 years of experience in teaching and research. He has published 30 research papers in International and National journals and conferences. His current research interest includes Grid Computing, Cloud Computing, Distributed Databases, and MANETs.


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