• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Dynamic Task Scheduling Via Policy Iteration Scheduling Approach for Cloud Computing

Vol. 11, No. 3, March 30, 2017
10.3837/tiis.2017.03.001, Download Paper (Free):

Abstract

Dynamic task scheduling is one of the most popular research topics in the cloud computing field. The cloud scheduler dynamically provides VM resources to variable cloud tasks with different scheduling strategies in cloud computing. In this study, we utilized a valid model to describe the dynamic changes of both computing facilities (such as hardware updating) and request task queuing. We built a novel approach called Policy Iteration Scheduling (PIS) to globally optimize the independent task scheduling scheme and minimize the total execution time of priority tasks. We performed experiments with randomly generated cloud task sets and varied the performance of VM resources using Poisson distributions. The results show that PIS outperforms other popular schedulers in a typical cloud computing environment.


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Cite this article

[IEEE Style]
B. Hu, N. Xie, T. Zhao and X. Zhang, "Dynamic Task Scheduling Via Policy Iteration Scheduling Approach for Cloud Computing," KSII Transactions on Internet and Information Systems, vol. 11, no. 3, pp. 1265-1278, 2017. DOI: 10.3837/tiis.2017.03.001.

[ACM Style]
Bin Hu, Ning Xie, Tingting Zhao, and Xiaotong Zhang. 2017. Dynamic Task Scheduling Via Policy Iteration Scheduling Approach for Cloud Computing. KSII Transactions on Internet and Information Systems, 11, 3, (2017), 1265-1278. DOI: 10.3837/tiis.2017.03.001.