Multi-constraint Service Selection Based on Decomposition of Global QoS

Authors

Fang Chen, Information Engineering University, Zhengzhou 450001, China;
Jindong Wang, Information Engineering University, Zhengzhou 450001, China;
Hengwei Zhang, Information Engineering University, Zhengzhou 450001, China;
Wang Na, Information Engineering University, Zhengzhou 450001, China;

Abstract

Abstract: With the rapid growth of Web services in cloud computing environment, users make new demands on dynamic service composition, that quickly selects composite service which can meet multi-constraints. According to the demand, a multi-constraint service selection method based on decomposition of global QoS was proposed. A new cultural genetic algorithm was designed to decompose the global QoS constraints, and services were filtered by combining with the functional constraints between candidate services. An adaptive replacement strategy was used to dynamically adjust QoS constraint boundaries, so as to ensure the most appropriate composite service obtained by local selection. Experimental results show that the method can obtain nearly optimal composite service with a low time cost, which meets the dynamical and real-time features of service selection.

Recommended Citation

Chen, Fang; Wang, Jindong; Zhang, Hengwei; and Na, Wang (2019) "Multi-constraint Service Selection Based on Decomposition of Global QoS," Journal of System Simulation: Vol. 30: Iss. 10, Article 36.
DOI: 10.16182/j.issn1004731x.joss.201810036
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss10/36

First Page

3893

Revised Date

2017-01-18

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201810036

Last Page

3902

CLC

TP393

Recommended Citation

Fang Chen, Wang Jindong, Zhang Hengwei, Wang Na. Multi-constraint Service Selection Based on Decomposition of Global QoS[J]. Journal of System Simulation, 2018, 30(10): 3893-3902.

DOI

10.16182/j.issn1004731x.joss.201810036