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  • Service adaptation with probabilistic partial models

    Author(s)
    Chen, M
    Tan, TH
    Sun, J
    Wang, J
    Liu, Y
    Sun, J
    Dong, JS
    Griffith University Author(s)
    Dong, Jin-Song
    Year published
    2016
    Metadata
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    Abstract
    Web service composition makes use of existing Web services to build complex business processes. Non-functional requirements are crucial for the Web service composition. In order to satisfy non-functional requirements when composing a Web service, one needs to rely on the estimated quality of the component services. However, estimation is seldom accurate especially in the dynamic environment. Hence, we propose a framework, ADFlow, to monitor and adapt the workflow of the Web service composition when necessary to maximize its ability to satisfy the non-functional requirements automatically. To reduce the monitoring overhead, ...
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    Web service composition makes use of existing Web services to build complex business processes. Non-functional requirements are crucial for the Web service composition. In order to satisfy non-functional requirements when composing a Web service, one needs to rely on the estimated quality of the component services. However, estimation is seldom accurate especially in the dynamic environment. Hence, we propose a framework, ADFlow, to monitor and adapt the workflow of the Web service composition when necessary to maximize its ability to satisfy the non-functional requirements automatically. To reduce the monitoring overhead, ADFlow relies on asynchronous monitoring. ADFlow has been implemented and the evaluation has shown the effectiveness and efficiency of our approach. Given a composite service, ADFlow achieves 25 %–32 % of average improvement in the conformance of non-functional requirements, and only incurs 1 %–3 % of overhead with respect to the execution time.
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    Journal Title
    Lecture Notes in Computer Science
    Volume
    10009 LNCS
    DOI
    https://doi.org/10.1007/978-3-319-47846-3_9
    Subject
    Software engineering not elsewhere classified
    Publication URI
    http://hdl.handle.net/10072/172891
    Collection
    • Journal articles

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