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Service Level Achievements: Distributed Knowledge for Optimal Service Selection
Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics. (Computer Science, Software Technology Labs)ORCID iD: 0000-0001-5471-551X
Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics. (Computer Science, Software Technology Labs)
Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics. (Computer Science, Software Technology Labs)ORCID iD: 0000-0002-7565-3714
2011 (English)In: Proceedings - 9th IEEE European Conference on Web Services, ECOWS 2011 / [ed] Gianluigi Zavattaro, Ulf Schreier, and Cesare Pautasso, IEEE, 2011, p. 125-132Conference paper, Published paper (Refereed)
Abstract [en]

In a service-oriented setting, where services are composed to provide end user functionality, it is a challenge to find the service components with best-fit functionality and quality. A decision based on information mainly provided by service providers is inadequate as it cannot be trusted in general. In this paper, we discuss service compositions in an open market scenario where an automated best-fit service selection and composition is based on Service Level Achievements instead. Continuous monitoring updates the actual Service Level Achievements which can lead to dynamically changing compositions. Measurements of real life services exemplify the approach.

Place, publisher, year, edition, pages
IEEE, 2011. p. 125-132
Keywords [en]
automated best-fit service selection;best-fit functionality;best-fit quality;cloud computing;distributed knowledge;optimal service selection;service compositions;service level achievements;service oriented computing;service-oriented setting;software as a service;cloud computing;distributed processing;service-oriented architecture;
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:lnu:diva-16663DOI: 10.1109/ECOWS.2011.24Scopus ID: 2-s2.0-81255210583ISBN: 978-1-4577-1532-7 (print)OAI: oai:DiVA.org:lnu-16663DiVA, id: diva2:474176
Conference
Ninth IEEE European Conference on Web Services (ECOWS)
Available from: 2012-01-09 Created: 2012-01-09 Last updated: 2018-04-26Bibliographically approved

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Andersson, JesperKirchner, JensLöwe, Welf

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CiteExportLink to record
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Citation style
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