Collective Autonomic Systems: Towards Engineering Principles and Their Foundations View Full Text


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Chapter Info

DATE

2016

AUTHORS

Lenz Belzner , Matthias Hölzl , Nora Koch , Martin Wirsing

ABSTRACT

Collective autonomic systems (CAS) are adaptive, open-ended, highly parallel, interactive and distributed software systems. They consist of many collaborative entities that manage their own knowledge and processes. CAS present many engineering challenges, such as awareness of the environmental situation, performing suitable and adequate adaptations in response to environmental changes, or preserving adaptations over system updates and modifications. Recent research has proposed initial solutions to some of these challenges, but many of the difficult questions remain unanswered and will open up a rich field of future research. In an attempt to initiate a discussion about the structure of this emerging research area, we present eight engineering principles that we consider promising candidates for relevant future research, and shortly address their possible foundations. Our discussion is based on a development life cycle (EDLC) for autonomic systems. Going beyond the traditional iterative development process, the EDLC proposes three control loops for system design, runtime adaptation, as well as feedback between design- and runtime. Some of our principles concern the whole development process, while others focus on a particular control loop. More... »

PAGES

180-200

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  • Book

    TITLE

    Transactions on Foundations for Mastering Change I

    ISBN

    978-3-319-46507-4
    978-3-319-46508-1

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-319-46508-1_10

    DOI

    http://dx.doi.org/10.1007/978-3-319-46508-1_10

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1084848846


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