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Performance sensitive self-adaptive service-oriented software using hidden Markov models
University of Zaragoza, Spain.ORCID iD: 0000-0002-2736-845x
University of Zaragoza, Spain.
2011 (English)In: Proceedings of the 2nd ACM/SPEC International Conference on Performance engineering, ACM Digital Library, 2011, p. 201-206Conference paper, Published paper (Refereed)
Abstract [en]

Service Oriented Architecture (SOA) is a paradigm where applications are built on services offered by third party providers. Behavior of providers evolves and makes a challenge the performance prediction of SOA applications. A proper decision about when a provider should be substituted can dramatically improve the performance of the application. We propose hidden Markov models (HMM) to help service integrators to foretell the current state of third-parties. The paper leverages different algorithms that change providers based on predictions about their states. We also integrate these algorithms and HMMs in an architectural solution to coordinate them with other challenges in the SOA world.

Place, publisher, year, edition, pages
ACM Digital Library, 2011. p. 201-206
National Category
Software Engineering
Research subject
Computer Science, Software Technology
Identifiers
URN: urn:nbn:se:lnu:diva-68948DOI: 10.1145/1958746.1958776Scopus ID: 2-s2.0-79953861697ISBN: 978-1-4503-0519-8 (electronic)OAI: oai:DiVA.org:lnu-68948DiVA, id: diva2:1159639
Conference
ICPE'11 - The 2nd Joint WOSP/SIPEW International Conference on Performance Engineering
Available from: 2017-11-23 Created: 2017-11-23 Last updated: 2018-01-13Bibliographically approved

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Perez-Palacin, Diego

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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  • modern-language-association-8th-edition
  • vancouver
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More styles
Language
  • de-DE
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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf