Bi-Intentional Fault-Tolerant Model for Workflow Scheduling on Grids

The spur of Grid computing is to aggregate the power of widely dispersed resources, and provide non-trivial services to users. In attempts to utilize a diverse set of resources in grids proficiently, scheduling has been made. The primary intention of scheduling is the minimization of application completion time; however, they may lead to the usage of excess and redundant resources. Our algorithm performs the scheduling by accounting for both completion time and resource usage. Since the performance of grid resources changes dynamically and the accurate estimation of their performance is very difficult, our algorithm incorporates rescheduling to deal with unforeseen performance fluctuations effectively. Also, fault tolerance is an essential part of the grid. In Grid environments, execution failures can occur for various reasons such as network breakdown, failure or non-availability of required resources. Fault tolerance can be achieved in grids by Over provisioning and Check pointing techniques. Since, over provisioning violates the resource usage control, check pointing strategy is implemented in our proposed method.