NDLI: A graph-based Particle Swarm Optimisation approach to QoS-aware web service composition and selection

Content Provider	IEEE Xplore Digital Library
Author	da Silva, A.S. Hui Ma Mengjie Zhang
Copyright Year	2014
Description	Author affiliation: Sch. of Eng. & Comput. Sci., Victoria Univ. of Wellington, Wellington, New Zealand (da Silva, A.S.; Hui Ma; Mengjie Zhang)
Abstract	Web services are network-accessible modules that perform specific tasks and can be integrated into Web service compositions to accomplish more complex objectives. Due to the fast-growing number of Web services and the well-defined nature of their interfaces, the field of automated Web service composition is quickly expanding. The use of Particle Swarm Optimisation composition techniques that take Quality of Service (QoS) properties into account is well-established in the field. However, the commonly utilised approach is to optimise a preselected Web service composition workflow, which requires domain expertise and prior knowledge and thus may lead to the loss of better solutions that require different workflow configurations. This paper presents a graph-based PSO technique which simultaneously determines an optimal workflow and near-optimal Web services to be included in the composition based on their QoS properties, as well as a greedy-based PSO technique which follows the commonly utilised approach. The comparison of the two techniques shows that despite requiring more execution time, the graph-based approach provides equivalent or better solutions than the greedy-based approach, depending on the workflow preselected by the greedy-based PSO. These results demonstrate that under certain circumstances, the graph-based approach is capable of producing solutions whose fitness surpasses that of the solutions obtained by employing the greedy-based approach.
Starting Page	3127
Ending Page	3134
File Size	322110
Page Count	8
File Format	PDF
e-ISBN	9781479914883
DOI	10.1109/CEC.2014.6900404
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Web services Quality of service Abstracts Optimization Read only memory Vectors Particle swarm optimization
Content Type	Text
Resource Type	Article

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