| 한글제목(Korean Title) |
Dynamic Task Scheduling Via Policy Iteration Scheduling Approach for Cloud Computing |
| 영문제목(English Title) |
Dynamic Task Scheduling Via Policy Iteration Scheduling Approach for Cloud Computing |
| 저자(Author) |
Bin Hu
Ning Xie
Tingting Zhao
Xiaotong Zhang
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| 원문수록처(Citation) |
VOL 11 NO. 03 PP. 1265 ~ 1278 (2017. 03) |
한글내용
(Korean Abstract) |
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영문내용
(English 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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| 키워드(Keyword) |
Cloud computing
resource scheduling
dynamic task scheduling
policy iteration
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| 파일첨부 |
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