ISBN: 978-981-11-3671-9 DOI: 10.18178/wcse.2017.06.005
Research and Implementation of Workflow Scheduling Scheme Based on Cloud Computing
Abstract— With the rapid development of cloud computing, task scheduling and resource allocation have
been widely concerned in cloud computing. In this paper, the workflow scheduling in cloud computing is
studied. It is found that the value of each dimension of the particle position coordinates in the PSO represents
the index of the computing resources in the resource pool, which is not associated with the characteristics of
the computational resources. About this issue, the current research is only associating the cost of computing
resources and the index of computational resources. In this paper, we propose an improved strategy which
associates the index of computational resources with the cost of computing resource and its memory together.
After a lot of experiments, it has been proved that this improved strategy is more effective.
Index Terms— cloud computing, resource scheduling, PSO, workflow
Xi Sun, Yijie Shi
State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and
Telecommunications, CHINA
Cite: Xi Sun, Yijie Shi, "Research and Implementation of Workflow Scheduling Scheme Based on Cloud Computing," Proceedings of 2017 the 7th International Workshop on Computer Science and Engineering, pp. 30-36, Beijing, 25-27 June, 2017.