Research and design of efficient resource scheduling model for asymmetric network

DOI

10.2991/amcce-15.2015.210How to use a DOI?

Keywords

resource scheduling; catfish PSO algorithm; CF-PSO cloud computing

Abstract

The traditional algorithm used for resource scheduling modeling in asymmetric network, is time-consuming, and has bigger error. The cloud computing resource scheduling method based on catfish PSO algorithm is proposed. By adopting the particle encoding method initialize the particle swarm, and through the fitness function, realize cloud computing resource scheduling effectively based on catfish PSO in asymmetric network. The simulation results prove that, the catfish PSO algorithm for cloud computing resource scheduling in asymmetric network has certain robustness and distributivity, improving work efficiency of scheduling.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jin Wang
AU  - Changjiang Jin
PY  - 2015/04
DA  - 2015/04
TI  - Research and design of efficient resource scheduling model for asymmetric network
BT  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.210
DO  - 10.2991/amcce-15.2015.210
ID  - Wang2015/04
ER  -