Achieving Fault Tolerance and Recovery in Computational Grid

Grid computing, most simply stated, is distributed computing taken to the next evolutionary level. The goal is to create the illusion of a simple yet large and powerful self managing virtual computer out of a large collection of connected heterogeneous systems sharing various combinations of resources. However, in the grid computing environment there are certain aspects which reduce efficiency of the system, job scheduling of the resources and fault tolerance are the key aspect to improve the efficiency and exploit the capabilities of emergent computational systems. Because of dynamic and distributed nature of grid, the traditional methodologies of scheduling are inefficient for the effective utilization of the resource available. The fault tolerance strategy proposed will improve the performance of the overall computational grid environment. In this paper we propose an efficient job scheduling algorithm to improve the efficiency of the grid environment. The simulation results illustrate that the proposed strategy effectively schedules the grid jobs and reduce the execution time.