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Accurate Proactive Adaptation of Service-Oriented Systems

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Book cover Assurances for Self-Adaptive Systems

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 7740))

Abstract

As service-oriented systems are increasingly composed of third-party services accessible over the Internet, self-adaptation capabilities promise to make these systems become robust and resilient against third-party service failures that may negatively impact on system quality. In such a setting, proactive adaptation capabilities will provide significant benefits by predicting pending service failures and mitigating their negative impact on system quality. Proactive adaptation requires accurate quality prediction techniques; firstly, because executing unnecessary proactive adaptations (due to false positive predictions) might lead to additional costs or follow-up-failures; secondly, because proactive adaptation opportunities may be missed (due to false negative predictions). This book chapter reviews solutions for measuring and ensuring the accuracy of online service quality predictions. It critically analyses their applicability in the setting of third-party services and supports this analysis with empirical data.

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Authors and Affiliations

  1. Paluno (The Ruhr Institute for Software Technology), University of Duisburg-Essen, Essen, Germany

    Andreas Metzger, Osama Sammodi & Klaus Pohl

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  1. Andreas Metzger
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  2. Osama Sammodi
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  3. Klaus Pohl
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Editor information

Editors and Affiliations

  1. Department of Informatics Engineering, University of Coimbra, 3030-290, Coimbra, Portugal

    Javier Cámara

  2. School of Computing, University of Kent, CT2 7NF, Canterbury, Kent, UK

    Rogério de Lemos

  3. Dipartimento di Elettronica e Informazione, Politecnico di Milano, Via Golgi, 42, 20133, Milano, Italy

    Carlo Ghezzi

  4. Faculty of Sciences, University of Lisbon, Campo Grande, 1749-016, Portugal

    Antónia Lopes

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Metzger, A., Sammodi, O., Pohl, K. (2013). Accurate Proactive Adaptation of Service-Oriented Systems. In: Cámara, J., de Lemos, R., Ghezzi, C., Lopes, A. (eds) Assurances for Self-Adaptive Systems. Lecture Notes in Computer Science, vol 7740. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36249-1_9

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  • DOI: https://doi.org/10.1007/978-3-642-36249-1_9

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