Analysis of Load Balancing Techniques in Grid

  • R. Venkatesan
  • M. Blessy Rathna Solomi
Part of the Communications in Computer and Information Science book series (CCIS, volume 250)


Grid environment is the collection of independent systems which provide integrated computing facility. In a Grid infrastructure, some systems may be idle, while others are heavily loaded. This leads to an imbalance in load which results in under-utilization of resources, reduced throughput, and high response time. Several load balancing strategies are proposed to avoid the load imbalance. In this paper, the various load balancing models are discussed. The four load balancing models explored in this paper are graph-based, tree-based, agent-based and learning-based. Several load balancing techniques are described and discussed under appropriate category.


Grid computing Load balancing Machine learning Tree-based model Graph partitioning Software agents 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • R. Venkatesan
    • 1
  • M. Blessy Rathna Solomi
    • 2
  1. 1.Department of Information TechnologyKarunya UniversityIndia
  2. 2.Department of Computer Science and EngineeringKarunya UniversityIndia

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