Affiliations: [a] School of Computer and Information Science, Southwest University, Chongqing, China
| [b] School of Information Technology, Deakin University, Australia
Correspondence:
[*]
Corresponding authors. Fuyuan Xiao, School of Computer and Information Science, Southwest University, Chongqing, 400715, China. E-mail: [email protected]; Jemal Abawajy, School of Information Technology, Deakin University, Australia. E-mail:[email protected].
Abstract: 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.
Keywords: Workflow scheduling, Triangular fuzzy numbers, TOPSIS, Distributed
systems
