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An improved approach for load balancing among heterogeneous resources in computational grids

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Abstract

In recent days, due to the rapid technological advancements, the grid computing has become an important area of research in distributed systems. The load balancing is a very important and complex problem in grid computing. In this paper, we propose a dynamic-distributed load-balancing technique called the improved load balancing on enhanced GridSim with deadline control (IEGDC) for computational grids. Here, we provide a new mechanism of scheduling to enhance the utilization of the resources and to prevent the resource overloading. A selection method for scheduling by considering the state of resource bandwidth and capacity of various resources is presented. We simulate the proposed load-balancing strategy on the GridSim platform. The proposed mechanism on comparison is found to outperform the existing schemes in terms of response time, resubmitted time, finished and unfinished Gridlets. The simulation results are presented.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Veer Surendra Sai University of Technology, Burla, Sambalpur, Odisha, 768018, India

    Deepak Kumar Patel & Chitaranjan Tripathy

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  1. Deepak Kumar Patel
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  2. Chitaranjan Tripathy
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Correspondence to Deepak Kumar Patel.

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Patel, D.K., Tripathy, C. An improved approach for load balancing among heterogeneous resources in computational grids. Engineering with Computers 31, 825–839 (2015). https://doi.org/10.1007/s00366-014-0391-9

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  • DOI: https://doi.org/10.1007/s00366-014-0391-9

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