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Self-Aware Computing Systems pp 109–147Cite as

Architectural Concepts for Self-aware Computing Systems

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Abstract

Self-awareness in a computing system is achieved by implementing a model-based learning, reasoning, and acting loop (LRA-M loop). Similar to the feedback loops for self-adaptive software, we argue that the LRA-M loop should be addressed during the architectural design of self-aware computing systems. This allows engineers to explicitly decide and reason about the system’s self-awareness capabilities. This chapter, therefore, introduces the relevant architectural concepts to address and make the LRA-M loop visible in the architectural design. Based on these concepts, we discuss how context-awareness, self-awareness, and meta-self-awareness become manifest in an architecture. Finally, we relate the presented architectural concepts to the definition and framework for self-aware computing systems introduced in the previous chapters.

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Acknowledgements

This chapter is the result of stimulating discussions among the authors and other participants, especially Peter Lewis, Nelly Bencomo, Kurt Geihs, Kirstie Bellman, Chris Landauer, and Paola Inverardi, 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, 14482, Potsdam, Germany

    Holger Giese & Thomas Vogel

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

    Ada Diaconescu

  3. TU Dresden, Dresden, Germany

    Sebastian Götz

  4. Department of Computer Science, University of Wrzburg, Am Hubland, 97074, Würzburg, Germany

    Samuel Kounev

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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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  5. Samuel Kounev
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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., Kounev, S. (2017). Architectural Concepts 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_5

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  • DOI: https://doi.org/10.1007/978-3-319-47474-8_5

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