Analysis of revenue improvements with runtime adaptation of service composition based on conditional request retries

Miroslav Zivkovic, Hans Leo van den Berg

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    2 Citations (Scopus)
    20 Downloads (Pure)

    Abstract

    In this paper we consider the runtime service adaptation mechanism for service compositions that is based on conditional retries. A single retry may be issued while a concrete service within composition is executed. This retry could either invoke the same concrete service or a functionally equivalent service implementing the same task. We determine the optimal moments to terminate the current request and replicate it. The calculation of these moments for each task within the workflow is based on different QoS parameters from Service Level Agreements, like services’ response–time distributions and cost–relating parameters. The calculations are performed taking into account the remaining actual time–to–deadline, and the benefit of conditional retry mechanism is illustrated by simulations. We further discuss the impact of costs and response–time distributions’ parameters to the solution at hand.
    Original languageUndefined
    Title of host publicationFirst European Conference on Service Oriented and Cloud Computing (ESOCC 2012)
    Place of PublicationBerlin
    PublisherSpringer
    Pages169-183
    Number of pages15
    ISBN (Print)978-3-642-33426-9
    DOIs
    Publication statusPublished - Sep 2012
    EventFirst European Conference on Service Oriented and Cloud Computing, ESOCC 2012 - Bertinoro, Italy
    Duration: 19 Sep 201221 Sep 2012
    Conference number: 1

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer Verlag
    Volume7592
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    ConferenceFirst European Conference on Service Oriented and Cloud Computing, ESOCC 2012
    Abbreviated titleESOCC
    CountryItaly
    CityBertinoro
    Period19/09/1221/09/12

    Keywords

    • EWI-22702
    • IR-83459
    • METIS-293254

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