A distributed optimal scheme based on local QoS for web service composition

Dai, Huijun; Qu, Hua; Zhao, Jihong; Dong, Wei; Wujie, Xie

doi:10.1109/cc.2014.7022538

Cited by 5 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The web service selection problem has been acknowledged as an important issue in the adoption of web services, and several approaches have been developed to tackle the problem. Dai et al (2014) propose an approach that uses availability and processing time, and develop a graph-based technique to select services for a small number of tasks and a limited set of candidate services. Ahmed et al (2015) use response time as the basis for selection of functionally equivalent web services and employ a hidden Markov model to select "optimal" services.…”

Section: Prior Research On Service Compositionmentioning

confidence: 99%

Service-oriented Application Composition with Evolutionary Heuristics and Multiple Criteria

Nazareth

Jain

2019

ACM Trans. Manage. Inf. Syst.

View full text Add to dashboard Cite

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.

show abstract

Section: Prior Research On Service Compositionmentioning

confidence: 99%

Service-oriented Application Composition with Evolutionary Heuristics and Multiple Criteria

Nazareth

Jain

2019

ACM Trans. Manage. Inf. Syst.

View full text Add to dashboard Cite

show abstract

“…Web services recommendation has been widely studied by many researchers [3][4][5][6][7][8][9][10][31][32][33][34][35]. There are two core problems in Web service recommendation, i.e., the prediction of unknown QoS property values and the evaluation of the overall QoS according to user preferences.…”

Section: Related Workmentioning

confidence: 99%