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Information Technology Journal
  Year: 2007 | Volume: 6 | Issue: 6 | Page No.: 784-797
DOI: 10.3923/itj.2007.784.797
 
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Load Balancing with Fault Tolerance and Optimal Resource Utilization in Grid Computing

Neeraj Nehra, R.B. Patel and V.K. Bhat

Abstract:
In grid computing, load balancing with optimal resource utilization and fault tolerance are important issues. The availability of the selected resources for job execution is a primary factor that determines the computing performance. Typically, the probability of a failure is higher in the grid computing than in a traditional parallel computing and the failure of resources affects job execution fatally. Therefore, a fault tolerance service is essential in grid. Also grid services are often expected to meet some minimum levels of Quality of Service (QoS) for a desirable operation. To address this issue, we propose load balancing with optimal resource utilization and fault tolerance service that satisfies QoS requirements. A fault tolerance service deals with various types of resource failures, which include process failures, processor failures and network failures. We design and implement a fault detector and a fault manager. Approach is effective in the sense that the fault detector detects the occurrence of resource failures and the fault manager guarantees that the submitted jobs completely executed with optimal resources. The performance of job execution is improved due to job migration using Mobile Agent (MA) even if some failures occurs. This MA executes one of the check pointing algorithms and its performance is compared with check pointing algorithm-using Message Passing Interface (MPI). Also the overhead generated during job migration is compared with MA and MPI.
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How to cite this article:

Neeraj Nehra, R.B. Patel and V.K. Bhat, 2007. Load Balancing with Fault Tolerance and Optimal Resource Utilization in Grid Computing. Information Technology Journal, 6: 784-797.

DOI: 10.3923/itj.2007.784.797

URL: https://scialert.net/abstract/?doi=itj.2007.784.797

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