Journal of Applied Science and Engineering

Published by Tamkang University Press


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Yingjie Wang This email address is being protected from spambots. You need JavaScript enabled to view it.1,2, Kuanjiu Zhou1 and Mingchu Li1

1Software School, Dalian University of Technology, Dalian 116621, P.R. China
2Information and Engineering College, Dalian University, Dalian 116622, P.R. China


Received: February 7, 2017
Accepted: August 5, 2017
Publication Date: March 1, 2018

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When scheduling the multi-core parallel complex system tasks by using the traditional MapReduce scheduling method, there is a problem that the task response time is high and the system throughput is reduced. For this kind of phenomenon, we proposed a multi core parallel complex system task scheduling method based on multi label constraint, which was a task scheduling model with multi label constraint graph based on shaping, realizing the parallel fusion of space and time of system task scheduling. The space parallel and the time parallel scheduling method were incorporated in the scheduling framework. Through the parallel node merging and allocation algorithm, the space parallel scheduling method of multi label constraint graph was improved, which implemented the efficient scheduling of multi core parallel complex system tasks. The experimental results show that the proposed method can improve the data parallel performance, which has high scheduling performance.

Keywords: Multi Label, Constraint, Multi-core Parallel System, Task, Scheduling


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