Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering

Research and design of efficient resource scheduling model for asymmetric network

Authors
Jin Wang, Changjiang Jin
Corresponding Author
Jin Wang
Available Online April 2015.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

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  - https://doi.org/10.2991/amcce-15.2015.210
ID  - Wang2015/04
ER  -