International Journal of Computational Intelligence Systems

Volume 7, Issue sup2, 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
Qian Li
Available online July 2014.
DOI
https://doi.org/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
© The authors.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - JOUR
AU  - Li, Qian
AU  - Dou, Runliang
AU  - Chen, Fuzan
AU  - Nan, Guofang
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  - sup2
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2014.947090
DO  - https://doi.org/10.1080/18756891.2014.947090
ID  - Li2014
ER  -