Service-oriented Application Composition with Evolutionary Heuristics and Multiple Criteria

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The need to create and deploy business application systems rapidly has sparked interest in using web services to compose them. When creating mission-critical business applications through web service compositions, in addition to ensuring that functional requirements are met, designers need to consider the end-to-end reliability, security, performance, and overall cost of the application. As the number of available coarse-grain business services grows, the problem of selecting appropriate services quickly becomes combinatorially explosive for realistic-sized business applications. This article develops a business-process-driven approach for composing service-oriented applications. We use a combination of weights to explore the entire QoS criteria landscape through the use of a multi-criteria genetic algorithm (GA) to identify a Pareto-optimal multidimensional frontier that permits managers to trade off conflicting objectives when selecting a set of services. We illustrate the effectiveness of the approach by applying it to a real-world drop-ship business application and compare its performance to another GA-based approach for service composition.
Publisher
ASSOC COMPUTING MACHINERY
Issue Date
2019-11
Language
English
Article Type
Article
Citation

ACM TRANSACTIONS ON MANAGEMENT INFORMATION SYSTEMS, v.10, no.3, pp.10

ISSN
2158-656X
DOI
10.1145/3354288
URI
http://hdl.handle.net/10203/271151
Appears in Collection
MG-Journal Papers(저널논문)
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