Affiliations: [1] College of Computer Science and Technology, Taiyuan University of Technology, No. 79, Yinze West Street, Taiyuan 030024, China
| [2] Department of Public Computer Teaching, Yuncheng University, No. 1155, Fudan West Street, Yuncheng 044000, China. E-mails: yangyuliyyl@126.com, sxgrant@126.com, kcxdj122@126.com
Correspondence:
[*]
Corresponding author.
Abstract: Traditional researches on scheduling of cloud workflow applications were mainly focused on time and cost. However, security and reliability have become the key factors of cloud workflow scheduling. Taking time, cost, security and reliability into account, we present a trust-based scheduling strategy. We firstly formulate the cloud workflow scheduling and then propose the corresponding algorithm, in which the trustful computation service and storage service are selected according to the set-based particle swarm optimization (S-PSO) method and set covering problem (SCP) tree search heuristic method, respectively. Finally, experimental results show that, compared with traditional methods, the proposed algorithm has better performance.
Keywords: cloud computing, cloud workflow system, cloud workflow scheduling, data retrieval, trust utility value
Journal: Informatica, vol. 26, no. 1, pp. 159-180, 2015
