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Port-Based Reliability Computing for Service Composition

Published: 01 July 2012 Publication History

Abstract

Web service composition is a distributed model to construct new web service on top of existing primitive or other composite web services. However, current service technologies, including proposed composition languages, do not address the reliability of web service composition. Thus, it is hard to predict the system reliability. In this paper, we propose a method to compute system reliability based on Service Component Architecture (SCA), a standard that provides a language-independent way to define and compose service components in the system. We first present a formal service component signature model with respect to the specification of the SCA assembly model, and then propose a language-independent dynamic behavior model for specifying the interface behavior of the service component by port activities. Then, the failure behaviors of ports are defined through the Nonhomogeneous Poisson Process (NHPP). Based on the semantics of ports, several rules have been generated to compute reliability of port expressions, thus the overall system reliability can be automatically computed. An Online Shop example from IBM web site is given to illustrate our method, together with a testing bed to calculate port reliability.

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  1. Port-Based Reliability Computing for Service Composition

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    Published In

    cover image IEEE Transactions on Services Computing
    IEEE Transactions on Services Computing  Volume 5, Issue 3
    July 2012
    177 pages

    Publisher

    IEEE Computer Society

    United States

    Publication History

    Published: 01 July 2012

    Author Tags

    1. Computational modeling
    2. Computer architecture
    3. Markov processes
    4. NHPP.
    5. Service composition
    6. Software reliability
    7. Testing
    8. Web services
    9. reliability computing
    10. service component architecture

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    • (2018)Reliability prediction and QoS selection for web service compositionInternational Journal of Computational Science and Engineering10.1504/IJCSE.2018.09044216:2(202-211)Online publication date: 1-Jan-2018
    • (2018)A Deep Reinforcement Learning Approach for Large-Scale Service CompositionPRIMA 2018: Principles and Practice of Multi-Agent Systems10.1007/978-3-030-03098-8_18(296-311)Online publication date: 29-Oct-2018
    • (2017)A Tree-Based Reliability Analysis for Fault-Tolerant Web Services CompositionService-Oriented Computing10.1007/978-3-319-69035-3_35(481-489)Online publication date: 13-Nov-2017
    • (2015)Dependability certification of servicesComputing10.1007/s00607-013-0348-797:1(51-78)Online publication date: 1-Jan-2015
    • (2014)Online reliability prediction of service compositionProceedings of the 2014 3rd International Workshop on Evidential Assessment of Software Technologies10.1145/2627508.2627509(1-8)Online publication date: 26-May-2014
    • (2013)SP4PSInternational Journal of Web Engineering and Technology10.1504/IJWET.2013.0590988:4(327-346)Online publication date: 1-Feb-2013

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