Fair scheduling approach for Load balancing and Fault tolerant in grid environment

Abstract

Grid computing is becoming an important technology in distributed environment. The Main issues consider in grid computing is Load balancing, Fault tolerance and Fault recovery. This paper Focuses on Load balancing and Fault tolerance. Load balancing is an important technique by maintaining the workload properly in the sites. This article designs a Grid Scheduler, which selects the Minimum Loaded Site for the candidate set of nearest sites, Execute the job within the Grid. Then the job is dispatched to the Fault Detector based on the availability of the site. The load balancing task in the grid environment will significantly improve the performance of the grid environment. Fault tolerance is a main technique in grid environment. This technique will used to execute the job from the processor failure. To achieve high throughput and resource utilization we propose a Fair scheduling algorithm. Trails for the proposed system are conducted using Grid Simulation Toolkit (GridSim).