By Topic

An Evolutionary Approach for Scalable Load Balancing in Cluster Computing

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Naveen Kumar Gondhi ; School of Computer Science and Engineering, Shri Mata Vaishno Devi University, Katra (J&K), India. naveenkumargondhi@rediffmail.com ; Durgesh Pant

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.

Published in:

Advance Computing Conference, 2009. IACC 2009. IEEE International

Date of Conference:

6-7 March 2009