tutorial

Current Solutions for Web Service Composition

Authors:

Nikola Milanovic,

Miroslaw MalekAuthors Info & Claims

IEEE Internet Computing, Volume 8, Issue 6

Pages 51 - 59

https://doi.org/10.1109/MIC.2004.58

Published: 01 November 2004 Publication History

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Abstract

Web service composition lets developers create applications on top of service-oriented computing's native description, discovery, and communication capabilities. Such applications are rapidly deployable and offer developers reuse possibilities and users seamless access to a variety of complex services.There are many existing approaches to service composition, ranging from abstract methods to those aiming to be industry standards.The authors describe four key issues for Web service composition.

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Cited By

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Tao ZCao BYe HKang GPeng ZWen Y(2022)A Web Service Recommendation Method Based on Adaptive Gate Network and xDeepFMAlgorithms and Architectures for Parallel Processing10.1007/978-3-031-22677-9_9(154-169)Online publication date: 10-Oct-2022
https://dl.acm.org/doi/10.1007/978-3-031-22677-9_9
Hollauf FFranceschetti MEder J(2022)Time-Cost Tradeoffs for Composed ServicesAdvanced Information Systems Engineering10.1007/978-3-031-07472-1_31(533-548)Online publication date: 6-Jun-2022
https://dl.acm.org/doi/10.1007/978-3-031-07472-1_31
Lyu MBiennier FGhodous P(2021)Integration of ontologies to support Control as a Service in an Industry 4.0 contextService Oriented Computing and Applications10.1007/s11761-021-00317-115:2(127-140)Online publication date: 1-Jun-2021
https://dl.acm.org/doi/10.1007/s11761-021-00317-1
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Index Terms

Current Solutions for Web Service Composition
1. Information systems
  1. World Wide Web
    1. Web applications

Index terms have been assigned to the content through auto-classification.

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Information

Published In

IEEE Internet Computing Volume 8, Issue 6

November 2004

93 pages

ISSN:1089-7801

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IEEE Educational Activities Department

United States

Publication History

Published: 01 November 2004

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Tao ZCao BYe HKang GPeng ZWen Y(2022)A Web Service Recommendation Method Based on Adaptive Gate Network and xDeepFMAlgorithms and Architectures for Parallel Processing10.1007/978-3-031-22677-9_9(154-169)Online publication date: 10-Oct-2022
https://dl.acm.org/doi/10.1007/978-3-031-22677-9_9
Hollauf FFranceschetti MEder J(2022)Time-Cost Tradeoffs for Composed ServicesAdvanced Information Systems Engineering10.1007/978-3-031-07472-1_31(533-548)Online publication date: 6-Jun-2022
https://dl.acm.org/doi/10.1007/978-3-031-07472-1_31
Lyu MBiennier FGhodous P(2021)Integration of ontologies to support Control as a Service in an Industry 4.0 contextService Oriented Computing and Applications10.1007/s11761-021-00317-115:2(127-140)Online publication date: 1-Jun-2021
https://dl.acm.org/doi/10.1007/s11761-021-00317-1
Nikoo MBabur Övan den Brand MGuerra EIovino L(2020)A survey on service composition languagesProceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings10.1145/3417990.3421402(1-5)Online publication date: 16-Oct-2020
https://dl.acm.org/doi/10.1145/3417990.3421402
Monteiro DMaia PRocha LMendonça N(2020)Building orchestrated microservice systems using declarative business processesService Oriented Computing and Applications10.1007/s11761-020-00300-214:4(243-268)Online publication date: 1-Dec-2020
https://dl.acm.org/doi/10.1007/s11761-020-00300-2
Zhao SZhang QPeng ZLu X(2020)Personalized manufacturing service composition recommendation: combining combinatorial optimization and collaborative filteringJournal of Combinatorial Optimization10.1007/s10878-020-00613-040:3(733-756)Online publication date: 1-Oct-2020
https://dl.acm.org/doi/10.1007/s10878-020-00613-0
Valderas PTorres VPelechano V(2020)A social network for supporting end users in the composition of services: definition and proof of conceptComputing10.1007/s00607-020-00796-8102:8(1909-1940)Online publication date: 1-Aug-2020
https://dl.acm.org/doi/10.1007/s00607-020-00796-8
Aichernig BSchumi R(2019)Property-based testing of web services by deriving properties from business-rule modelsSoftware and Systems Modeling (SoSyM)10.1007/s10270-017-0647-018:2(889-911)Online publication date: 1-Apr-2019
https://dl.acm.org/doi/10.1007/s10270-017-0647-0
(2018)Identification and classification of parameters affecting service selection efforts in SOA-based applicationsInternational Journal of Business Information Systems10.1504/IJBIS.2018.09252628:3(236-283)Online publication date: 1-Jan-2018
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Silva AMei YMa HZhang M(2018)Evolutionary computation for automatic Web service compositionJournal of Heuristics10.1007/s10732-017-9330-424:3(425-456)Online publication date: 1-Jun-2018
https://dl.acm.org/doi/10.1007/s10732-017-9330-4
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Abstract

References

Cited By

Index Terms

Recommendations

Composition and evaluation of trustworthy web services

Web service composition: a reality check

Verifying soundness of geodata web service composition based on Petri nets

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