Fault Tolerant Scheduling of Workflows in Grid Computing Environment (FTSW)

Computational grids have the potential for solving large - scale and scientific problems using geographically distributed and heterogeneous resources. In addition to the challenges of managing and scheduling resources reliable challenges arise because the grid infrastructure is unreliable. There are two major problems in Scheduling the Grid 1) Efficient Scheduling of jobs 2) Providing fault tolerance in a reliable manner. Most of the existing strategies do not provide fault tolerance for scheduling the workflows. There are some algorithms which provide fault tolerance but, they do a significant measure of redundant computation to provide fault tolerance. This paper addresses this issue and reduces the redundant work by using a group level table of data. This technique is suitable for workflow of jobs.