An Evolutionary Approach for Scalable Load Balancing in Cluster Computing

The proliferation of the World Wide Web and the pervasiveness of the related technologies have increased the demand of high performance clusters and distributed resources. Load balancing of the systems in which heterogeneous servers and resources are distributed becomes a key factor in achieving a rapid response time, efficient resource utilization and consequently higher throughput. In a large scale distributed environment, load balancing using mobile agents holds appeal in comparison with pure message passing protocol scheme. In this paper, the integration of a genetic algorithm with the sender initiated approach for server selection serves as a promising possibility for efficient load balancing and effective resource utilization in distributed systems.