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State of the Art in Architectures for Self-aware Computing Systems

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Self-Aware Computing Systems

Abstract

In this chapter, we review the state of the art in self-aware computing systems with a particular focus on software architectures. Therefore, we compare existing approaches targeting computing systems with similar characteristics as self-aware systems to the architectural concepts for single and collective self-aware systems discussed in the previous chapters. These approaches are particularly reference architectures and architectural frameworks and languages. Based on this comparison, we discuss open challenges for architectures of self-aware computing systems.

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Acknowledgements

This chapter is the result of stimulating discussions among the authors and other participants, especially Paola Inverardi and Peter Lewis, during the seminar on Model-driven Algorithms and Architectures for Self-Aware Computing Systems at Schloss Dagstuhl in January 2015 (http://www.dagstuhl.de/15041).

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Authors and Affiliations

  1. Hasso Plattner Institute for Software Systems Engineering at the University of Potsdam, Prof.-Dr.-Helmert-Str. 2-3, D-14482, Potsdam, Germany

    Holger Giese & Thomas Vogel

  2. Telécom ParisTech, Equipe S3, Department INFRES, 46 Rue Barrault, 75013, Paris, France

    Ada Diaconescu

  3. Tu Dresden, Dresden, Germany

    Sebastian Götz

  4. Aston Institute for Systems Analytics, Aston University, Birmingham, UK

    Nelly Bencomo

  5. University Kassel, Wilhelmshöher Allee 73, D-34121, Kassel, Germany

    Kurt Geihs

  6. University of Würzburg, Department of Computer Science, Am Hubland, D-97074, Würzburg, Germany

    Samuel Kounev

  7. Aerospace Integration Science Center, The Aerospace Corporation, California, CA, USA

    Kirstie L. Bellman

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  1. Holger Giese
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  2. Thomas Vogel
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  3. Ada Diaconescu
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  4. Sebastian Götz
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Correspondence to Holger Giese .

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Editors and Affiliations

  1. University of Würzburg, Würzburg, Germany

    Samuel Kounev

  2. Thomas J. Watson Research Center, Hawthorne, New York, USA

    Jeffrey O. Kephart

  3. University of Würzburg, Würzburg, Germany

    Aleksandar Milenkoski

  4. VMWare Inc.Futurewei Technologies, Inc. , Santa Clara, California, USA

    Xiaoyun Zhu

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Giese, H. et al. (2017). State of the Art in Architectures for Self-aware Computing Systems. In: Kounev, S., Kephart, J., Milenkoski, A., Zhu, X. (eds) Self-Aware Computing Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-47474-8_8

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