Improving Grid Computing Performance by Optimally Reducing Checkpointing Effect

Abstract: Grid computing is a collection of computer resources that are gathered together from various areas to give computational resources such as storage, data or application services. This is to permit clients to access this huge measure of processing resources without the need to know where these might be found and what technology such as, hardware equipment and operating system was used. Dependability and performance are among the key difficulties faced in a grid computing environment. Various systems have been proposed in the literature to handle recouping from resource failure in Grid computing environment. One case of such system is checkpointing. Checkpointing is a system that endures faults when resources failed. Checkpointing method has the upside of lessening the work lost because of resource faults. However, checkpointing presents a huge runtime overhead. In this paper, we propose an improved checkpointing system to bring down runtime overhead. A replica is added to ensure the availability of resources. This replicates all checkpointing files to other machines as opposed to having dedicated checkpointing machine. The results of simulation employing GridSim noted that retaining the number of resources fixed and changing the number of gridlets, gains of up to 11%, 9%, and 11% on makespan, throughput, and turnaround time respectively were realized while changing the number of resources and preserving the number of gridlets fixed, increases of up to 11%, 8%, and 9% on makespan, throughput, and turnaround time respectively, were realized