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Where to adapt dynamic service compositions

Published: 20 April 2009 Publication History

Abstract

Peer services depend on one another to accomplish their tasks, and their structures may evolve. A service composition may be designed to replace its member services whenever the quality of the composite service fails to meet certain quality-of-service (QoS) requirements. Finding services and service invocation endpoints having the greatest impact on the quality are important to guide subsequent service adaptations. This paper proposes a technique that samples the QoS of composite services and continually analyzes them to identify artifacts for service adaptation. The preliminary results show that our technique has the potential to effectively find such artifacts in services.

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Cited By

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  • (2018)QoS Prediction for Reliable Service Composition in IoTService-Oriented Computing – ICSOC 2017 Workshops10.1007/978-3-319-91764-1_12(149-160)Online publication date: 16-Jun-2018
  • (2017)Online QoS Prediction for Runtime Service Adaptation via Adaptive Matrix FactorizationIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2017.270079628:10(2911-2924)Online publication date: 1-Oct-2017
  • (2014)Towards Online, Accurate, and Scalable QoS Prediction for Runtime Service AdaptationProceedings of the 2014 IEEE 34th International Conference on Distributed Computing Systems10.1109/ICDCS.2014.40(318-327)Online publication date: 30-Jun-2014
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cover image ACM Conferences
WWW '09: Proceedings of the 18th international conference on World wide web
April 2009
1280 pages
ISBN:9781605584874
DOI:10.1145/1526709

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 April 2009

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Author Tags

  1. service adaptation
  2. service composition

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Cited By

View all
  • (2018)QoS Prediction for Reliable Service Composition in IoTService-Oriented Computing – ICSOC 2017 Workshops10.1007/978-3-319-91764-1_12(149-160)Online publication date: 16-Jun-2018
  • (2017)Online QoS Prediction for Runtime Service Adaptation via Adaptive Matrix FactorizationIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2017.270079628:10(2911-2924)Online publication date: 1-Oct-2017
  • (2014)Towards Online, Accurate, and Scalable QoS Prediction for Runtime Service AdaptationProceedings of the 2014 IEEE 34th International Conference on Distributed Computing Systems10.1109/ICDCS.2014.40(318-327)Online publication date: 30-Jun-2014
  • (2012)Towards dynamic reconfiguration for qos consistent services based applicationsProceedings of the 10th international conference on Service-Oriented Computing10.1007/978-3-642-34321-6_61(771-778)Online publication date: 12-Nov-2012
  • (2011)Towards Functional Dynamic Reconfiguration for Service-Based ApplicationsProceedings of the 2011 IEEE World Congress on Services10.1109/SERVICES.2011.30(467-473)Online publication date: 4-Jul-2011
  • (2011)A web search-centric approach to recommender systems with URLs as minimal user contextsJournal of Systems and Software10.1016/j.jss.2011.01.03284:6(930-941)Online publication date: 1-Jun-2011

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