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Generic Architectures for Individual Self-aware Computing Systems

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Self-Aware Computing Systems

Abstract

Making computing systems self-aware calls for appropriate architectural designs of such systems that allow developers to explicitly decide and reason about the system’s self-awareness capabilities. In this context, a critical issue is the development of appropriate reflections that enable self-awareness and that impact the architectural design. This chapter, therefore, discusses generic architectures for pre-reflective, reflective, and meta-reflective self-awareness as well as various forms of constructing reflections while focusing on an individual system as opposed to a collective of self-aware computing systems. Finally, we discuss the presented ideas with respect to existing control schemes and architectural styles for self-adaptive software that seem to be promising for the architectural design 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 Nelly Bencomo, Kurt Geihs, Paola Inverardi, Samuel Kounev, 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).

Author information

Authors and Affiliations

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

    Holger Giese & Thomas Vogel

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

    Ada Diaconescu

  3. TU Dresden, Dresden, Germany

    Sebastian Götz

  4. Aerospace Integration Science Center, The Aerospace Corporation, El Segundo, CA, USA

    Kirstie L. Bellman

Authors
  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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  5. Kirstie L. Bellman
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Corresponding author

Correspondence to Holger Giese .

Editor information

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., Vogel, T., Diaconescu, A., Götz, S., Bellman, K.L. (2017). Generic Architectures for Individual 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_6

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  • DOI: https://doi.org/10.1007/978-3-319-47474-8_6

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-47474-8

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