Workflow scheduling in distributed systems under fuzzy environment

A well-managed time-constrained workflow scheduling is needed for improving system performance and end user satisfaction. Meanwhile, the intrinsic uncertainty in dynamic systems increases the difficulties of scheduling problem. Therefore, it is a great challenge to improve performance and optimize several objectives simultaneously. To address these issues, a novel workflow scheduling method for distributed systems based on TOPSIS method with fuzzy set is proposed in this paper. The new method can minimize the makespan of the workflow application under uncertain environment. Finally, a numerical example is provided to demonstrate the efficiency of the proposed method.