• DocumentCode
    3235700
  • Title

    Revenue maximization with quality assurance for composite web services

  • Author

    Worm, Daniel ; Zivkovic, Milan ; van den Berg, Hans ; van der Mei, Rob

  • Author_Institution
    TNO, Delft, Netherlands
  • fYear
    2012
  • fDate
    17-19 Dec. 2012
  • Firstpage
    1
  • Lastpage
    9
  • Abstract
    Service composition is one of the major approaches in service oriented architecture (SOA) based systems. Due to the inherent stochastic nature of services execution environment the issue of composite service quality assurance within SOA is a very challenging one. Such heterogeneous environment requires dynamic, run-time composition of services. We show how to determine a policy that satisfies the quality assurance for the composite service provider with the aim of revenue maximization for this provider. The quality assurance is defined as the probability that end-to-end deadline will be met, while taking into account service availability, (composite) service response-time and costs. The calculated policy is determined using dynamic programming and allows fast decision making for run-time composition. Besides, we determine the end-to-end response-time distributions resulting from determined policies. We illustrate the proposed solution with a number of experiments.
  • Keywords
    Web services; decision making; dynamic programming; service-oriented architecture; software quality; SOA; composite Web services; composite service provider; composite service quality assurance; decision making; dynamic programming; end-to-end deadline; end-to-end response-time distributions; quality assurance; revenue maximization; run-time composition; service composition; service oriented architecture; Availability; Concrete; Quality assurance; Quality of service; Service oriented architecture; Time factors; availability; composite web service; quality assurance; response time; revenue maximization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service-Oriented Computing and Applications (SOCA), 2012 5th IEEE International Conference on
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-4673-4773-0
  • Electronic_ISBN
    978-1-4673-4774-7
  • Type

    conf

  • DOI
    10.1109/SOCA.2012.6449452
  • Filename
    6449452