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Load Balancing and Bandwidth in Grid Computing Environments

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  • J. Preethi
  • R. Jayasudha

Abstract

Load Balancing is the challenging tasks in the Computing infrastructure. These two tasks are interdependent. Well defined computing infrastructure may reach through a Blue Print is called GRID. Even advance Resource Management algorithms may suffer due to improper load distribution among the available resources in the Grid environment. Load balancing algorithm plays important role in the resource management and also gives much impact in the performance point of view. An Improved Enhanced Gridsim with Deadline Control (IEGDC) model is used to reduce bandwidth and for load balancing. It enhances the utilization of the resources and prevents the resource overloading. The selection method for the scheduling proposed here is called Fastest Bandwidth to Highest Capacity (FBHC). Our selection method considers the state of resource bandwidth and capacity of the resources. The incorporation of the said features of the proposed method makes it quite attractive in grid applications. It is simulated on GridSim platform.

Suggested Citation

  • J. Preethi & R. Jayasudha, 2017. "Load Balancing and Bandwidth in Grid Computing Environments," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 2(2), pages 22-25, April.
    • Handle: RePEc:jbh:ijsrcs:v2:y2017:i2:id:hcseit172214
    Note: Article URL: https://ijsrcseit.com/CSEIT172214
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