Proceedings of the 2013 the International Conference on Education Technology and Information System (ICETIS 2013)

Parallel Test Scheduling based on Particle Swarm Optimization

Authors
Zhongwen Li, Xiangmiao Huang
Corresponding Author
Zhongwen Li
Available Online June 2013.
DOI
10.2991/icetis-13.2013.168How to use a DOI?
Keywords
Parallel Testing; Particle Swarm Optimization; Task Scheduling
Abstract

For the purpose of avoiding interference between each parallel testing tasks, this paper analyzes the testing process by dividing it into testing atoms, and makes the parameter set as the basic unit for each testing atom resource allocation so as to avoid interference. By means of modeling the parallel testing and with the object of minimizing the total testing time, it puts forward the parallel testing task scheduling algorithm on basis of improved particle swarm optimization. The experimental results verify that this method can be efficiently applied in parallel testing optimal scheduling.

Copyright
© 2013, 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/).

Download article (PDF)

Volume Title
Proceedings of the 2013 the International Conference on Education Technology and Information System (ICETIS 2013)
Series
Advances in Intelligent Systems Research
Publication Date
June 2013
ISBN
978-90-78677-76-5
ISSN
1951-6851
DOI
10.2991/icetis-13.2013.168How to use a DOI?
Copyright
© 2013, 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/).

Cite this article

TY  - CONF
AU  - Zhongwen Li
AU  - Xiangmiao Huang
PY  - 2013/06
DA  - 2013/06
TI  - Parallel Test Scheduling based on Particle Swarm Optimization
BT  - Proceedings of the 2013 the International Conference on Education Technology and Information System (ICETIS 2013)
PB  - Atlantis Press
SP  - 741
EP  - 744
SN  - 1951-6851
UR  - https://doi.org/10.2991/icetis-13.2013.168
DO  - 10.2991/icetis-13.2013.168
ID  - Li2013/06
ER  -