International Journal of Computational Intelligence Systems

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Volume 7, Issue Supplement 2, July 2014, Pages 26 - 34

A QoS-oriented Web service composition approach based on multi-population genetic algorithm for Internet of things

Authors
Qian Li, Runliang Dou, Fuzan Chen, Guofang Nan
Corresponding Author
Fuzan Chen
Received 25 November 2013, Accepted 15 March 2014, Available Online 1 July 2014.
DOI
10.1080/18756891.2014.947090How to use a DOI?
Keywords
Internet of Things, Web service, Web service composition, Quality of service
Abstract

Internet of things (IoT) will create new opportunities to build applications that better integrate real-time state of the industry. With Web services accomplishing similar function proliferated, industrial enterprises have to choose appropriate Web services according Quality of Service (QoS) properties. It introduces the problem of QoS-oriented service composition (QSC). This study formulates the QSC problem as a multi-criteria goal programming (MCGP) model, and develops a multi-population genetic algorithm (MGA) to solve the model. MCGP not only automatically assigns high quality Web services to combine a composite service, but also finds non inferior composite services by relaxing QoS constraints to satisfy users' QoS requirements. Empirical comparisons demonstrate MGA outperforms to the GA. Moreover, the experiments indicate MGA is capable to solve the large-scale QSC problem in terms of efficiency and scalability.

Copyright
© 2017, 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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<Previous Article In Issue
Next Article In Issue>
Journal
International Journal of Computational Intelligence Systems
Volume-Issue
7 - Supplement 2
Pages
26 - 34
Publication Date
2014/07/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.1080/18756891.2014.947090How to use a DOI?
Copyright
© 2017, 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

risenwbib
TY  - JOUR
AU  - Qian Li
AU  - Runliang Dou
AU  - Fuzan Chen
AU  - Guofang Nan
PY  - 2014
DA  - 2014/07/01
TI  - A QoS-oriented Web service composition approach based on multi-population genetic algorithm for Internet of things
JO  - International Journal of Computational Intelligence Systems
SP  - 26
EP  - 34
VL  - 7
IS  - Supplement 2
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2014.947090
DO  - 10.1080/18756891.2014.947090
ID  - Li2014
ER  -