Economical Task Scheduling Algorithm for Grid Computing Systems

Task duplication is an effective scheduling technique for reducing the response time of workflow applications in dynamic grid computing systems. Task duplication based scheduling algorithms generate shorter schedules without sacrificing efficiency but leave the computing resources over consumed due to the heavily duplications. In this paper, we try to minimize the duplications of tasks from the schedule obtained using an effective duplication based scheduling heuristic without affecting the overall schedule length (makespan) of grid application. Here, we suggested an economical duplication based intelligent scheduling heuristic called economical duplication scheduling in grid (EDS-G). The simulation results show that EDS-G algorithm generates better schedule with lesser number of duplications and remarkably less resource consumption as compared with HLD, LDBS in the simulated heterogeneous grid computing environments