A Novel PSO based Task Scheduling Algorithm for Multi-core Systems

Tian, J. and Hu, W. and Wang, Y. (2017) A Novel PSO based Task Scheduling Algorithm for Multi-core Systems. In: First International Conference, SmartCom 2016, Shenzhen, China, December 17-19, 2016, Proceedings. Springer, pp. 62-71. ISBN 978-3-319-52015-5

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Abstract

Multi-core processors have been the mainstream in computer architecture. It also provides the enhancement of the parallelism degree of multiple tasks. An emerged challenge is how to schedule the multiple tasks to the cores for high efficiency. In this paper, a novel task scheduling algorithm is proposed for multi-core systems. This algorithm is based on optimized particle swarm algorithm, which is used to find the optimal solution for the task scheduling. The experimental results have showed that the proposed algorithm can improve the efficiency of task scheduling for multi-core systems.

Item Type: Book Section
Subjects: G400 Computer Science
Divisions: Faculty of Computing, Engineering and the Built Environment
Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology
Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology > Digital Media Technology
UoA Collections > UoA11: Computer Science and Informatics
Depositing User: Oana-Andreea Dumitrascu
Date Deposited: 30 Jun 2017 08:50
Last Modified: 15 Aug 2017 12:07
URI: http://www.open-access.bcu.ac.uk/id/eprint/4750

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