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10.1109/EDOC.2009.14guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
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An End-to-End Approach for QoS-Aware Service Composition

Published: 01 September 2009 Publication History

Abstract

A simple and effective composition of software services into higher-levelcomposite services is still a very challenging task. Especially in enterpriseenvironments, Quality of Service (QoS) concerns play a major role when buildingsoftware systems following the Service-Oriented Architecture (SOA) paradigm. Inthis paper we present a composition approach based on a domain-specific language(DSL) for specifying functional requirements of services and the expected QoS inform of constraint hierarchies by leveraging hard and soft constraints. Acomposition runtime will resolve the user's constraints to find an optimizedcomposition semi-automatically. To this end we leverage data flow analysis togenerate a structured composition model and use two different techniques for theoptimization, a constraint programming and an integer programming approach.

Cited By

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  • (2020)DATESSOProceedings of the IEEE/ACM 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems10.1145/3387939.3391604(96-107)Online publication date: 29-Jun-2020
  • (2017)Cloud resource managementJournal of Cloud Computing: Advances, Systems and Applications10.1186/s13677-017-0081-46:1(1-20)Online publication date: 1-Dec-2017
  • (2017)A specification-based QoS-aware design framework for service-based applicationsService Oriented Computing and Applications10.1007/s11761-017-0210-411:3(301-314)Online publication date: 1-Sep-2017
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Published In

cover image Guide Proceedings
EDOC '09: Proceedings of the 2009 IEEE International Enterprise Distributed Object Computing Conference (edoc 2009)
September 2009
190 pages
ISBN:9780769537856

Publisher

IEEE Computer Society

United States

Publication History

Published: 01 September 2009

Author Tags

  1. Quality of Service
  2. Service Composition
  3. Web Services

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Cited By

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  • (2020)DATESSOProceedings of the IEEE/ACM 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems10.1145/3387939.3391604(96-107)Online publication date: 29-Jun-2020
  • (2017)Cloud resource managementJournal of Cloud Computing: Advances, Systems and Applications10.1186/s13677-017-0081-46:1(1-20)Online publication date: 1-Dec-2017
  • (2017)A specification-based QoS-aware design framework for service-based applicationsService Oriented Computing and Applications10.1007/s11761-017-0210-411:3(301-314)Online publication date: 1-Sep-2017
  • (2017)QoS-aware service composition in cloud computing using data mining techniques and genetic algorithmThe Journal of Supercomputing10.1007/s11227-016-1814-873:4(1387-1415)Online publication date: 1-Apr-2017
  • (2016)Qualitative and Quantitative Review of QOS based Web Services Selection and Composition TechniquesProceedings of the International Conference on Informatics and Analytics10.1145/2980258.2980432(1-12)Online publication date: 25-Aug-2016
  • (2016)Cloud resource provisioningKnowledge and Information Systems10.1007/s10115-016-0922-349:3(1005-1069)Online publication date: 1-Dec-2016
  • (2014)How to select dynamically a QoS-driven composite web service by a multi-agent system using CBR methodInternational Journal of Wireless and Mobile Computing10.1504/IJWMC.2014.0630547:4(327-347)Online publication date: 1-Jul-2014
  • (2012)Automated planning for feature model configuration based on functional and non-functional requirementsProceedings of the 16th International Software Product Line Conference - Volume 110.1145/2362536.2362548(56-65)Online publication date: 2-Sep-2012
  • (2012)Combining horizontal and vertical composition of servicesService Oriented Computing and Applications10.1007/s11761-011-0095-66:2(117-130)Online publication date: 1-Jun-2012
  • (2012)Global optimal selection of web composite services based on UMDAProceedings of the 19th international conference on Neural Information Processing - Volume Part V10.1007/978-3-642-34500-5_29(237-246)Online publication date: 12-Nov-2012
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