An Improved Binary PSO-based Task Scheduling Algorithm in Green Cloud Computing

Lili Xu; Kun Wang; Zhiyou Ouyang; Xin Qi

9th International Conference on Communications and Networking in China

Research Article

An Improved Binary PSO-based Task Scheduling Algorithm in Green Cloud Computing

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.4108/icst.chinacom.2014.256327,
    author={Lili Xu and Kun Wang and Zhiyou Ouyang and Xin Qi},
    title={An Improved Binary PSO-based Task Scheduling Algorithm in Green Cloud Computing},
    proceedings={9th International Conference on Communications and Networking in China},
    publisher={IEEE},
    proceedings_a={CHINACOM},
    year={2015},
    month={1},
    keywords={task scheduling algorithm green cloud binary particle swarm optimization (bpso)},
    doi={10.4108/icst.chinacom.2014.256327}
}

Lili Xu
Kun Wang
Zhiyou Ouyang
Xin Qi
Year: 2015
An Improved Binary PSO-based Task Scheduling Algorithm in Green Cloud Computing
CHINACOM
IEEE
DOI: 10.4108/icst.chinacom.2014.256327

Lili Xu¹, Kun Wang¹^,*, Zhiyou Ouyang¹, Xin Qi¹

1: Nanjing University of Posts and Telecommunciations

*Contact email: kwang@njupt.edu.cn

Abstract

Cloud computing is experiencing a rapid development since a large amount of data need to be addressed. How to carry on the reasonable task scheduling plays a vital role in the efficiency of cloud computing. This paper proposes a green cloud task-scheduling algorithm (GCTA) based on the improved binary particle swarm optimization (BPSO). The main contribution of our work is avoiding matrix operations by using pipelined number for virtual machines and redefining the position and velocity of particle. Simulation shows that the proposed GCTA has less execution time, and reduces resource consumption accordingly.

Keywords: task scheduling algorithm green cloud binary particle swarm optimization (bpso)

Published: 2015-01-21
Publisher: IEEE
Appears in: IEEEXplore

: http://dx.doi.org/10.4108/icst.chinacom.2014.256327