Improved Fault Tolerant Job Scheduler for Optimal Resource Utilization in Computational Grid
Grid computing provides the ability to access, utilize and control a variety of underutilized heterogeneous resources distributed across multiple administrative domains while it is an error prone environment. The failure of resources affects job execution during runtime. The authors propose a new strategy named Improved Fault Tolerant Job Scheduler (IFTJS) for Optimal Resource Utilization in Computational Grid which effectively schedules grid jobs tolerating faults gracefully and executes more jobs successfully within the specified deadline. This system maintains the history of fault occurrence of resources with respect to Processor, Memory and Bandwidth. The usage of this information causes the reduction of selecting chances of the resources which have more failure probability and hence improves the resource utilization.