Please use this identifier to cite or link to this item:
Title: A Genetic Algorithm Based Dynamic Load Balancing Scheme for Heterogeneous Distributed Systems
Authors: Sahoo, Bibhudatta
Mohapatra, Sudipta
Jena, S K
Keywords: Heterogeneous distributed system
dynamic load balancing
genetic algorithm
Issue Date: 2008
Publisher: CSREA
Citation: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA 2008, Las Vegas, Nevada, USA, July 14-17, 2008
Abstract: Load balancing is a crucial issue in parallel and distributed systems to ensure fast processing and optimum utilization of computing resources. Load balancing strategies try to ensure that every processor in the system does almost the same amount of work at any point of time. This paper investigates dynamic load-balancing algorithm for heterogeneous distributed systems where half of the processors have double the speed of the others. Two job classes are considered for the study, the jobs of first class are dedicated to fast processors. While second job classes are generic in the sense they can be allocated to any processor. The performance of the scheduler has been verified under scalability. Some simulation results are presented to show the effectiveness of genetic algorithms for dynamic load balancing.
Description: copyright for the paper belongs to publisher of the proceedings
Appears in Collections:Conference Papers

Files in This Item:
File Description SizeFormat 
PDP4247_2008.pdf175.93 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.