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Autonomic Computing Now You See It, Now You Don’t

Design and Evolution of Autonomic Software Systems

  • Chapter
Software Engineering (ISSSE 2007, ISSSE 2008, ISSSE 2006)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 5413))

Abstract

With the rapid growth of web services and socio-technical ecosystems, the management complexity of these modern, decentralized, distributed computing systems presents significant challenges for businesses and often exceeds the capabilities of human operators. Autonomic computing is an effective set of technologies, models, architecture patterns, standards, and processes to cope with and reign in the management complexity of dynamic computing systems using feedback control, adaptation, and self-management. At the core of an autonomic system are control loops which sense their environment, model their behavior in that environment, and take action to change the environment or their own behavior. Computer science researchers often approach the design of such highly dynamical systems from a software architecture perspective whereas engineering researchers start with a feedback control perspective. In this article, we argue that both design perspectives are needed and necessary for autonomic system design.

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Authors and Affiliations

  1. Department of Computer Science, University of Victoria, Canada

    Hausi A. Müller, Holger M. Kienle & Ulrike Stege

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  1. Hausi A. Müller
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  2. Holger M. Kienle
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  1. Dipartimento di Matematica e Informatica, Università di Salerno, Via Ponte Don Melillo, 84084, Fisciano, SA, Italy

    Andrea De Lucia

  2. Dipartimento di Matematica e Informatica (DMI), Università di Salerno, Via Ponte Don Melillo, 84084, Fisciano, SA, Italy

    Filomena Ferrucci

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Müller, H.A., Kienle, H.M., Stege, U. (2009). Autonomic Computing Now You See It, Now You Don’t. In: De Lucia, A., Ferrucci, F. (eds) Software Engineering. ISSSE ISSSE ISSSE 2007 2008 2006. Lecture Notes in Computer Science, vol 5413. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-95888-8_2

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  • DOI: https://doi.org/10.1007/978-3-540-95888-8_2

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