A Generic Framework for the Engineering of Self-Adaptive and Self-Organising Systems

Authors Giovanna Di Marzo Serugendo, John Fitzgerald, Alexander Romanovsky, Nicolas Guelfi



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Giovanna Di Marzo Serugendo
John Fitzgerald
Alexander Romanovsky
Nicolas Guelfi

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Giovanna Di Marzo Serugendo, John Fitzgerald, Alexander Romanovsky, and Nicolas Guelfi. A Generic Framework for the Engineering of Self-Adaptive and Self-Organising Systems. In Organic Computing - Controlled Self-organization. Dagstuhl Seminar Proceedings, Volume 8141, pp. 1-16, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)
https://doi.org/10.4230/DagSemProc.08141.3

Abstract

This paper provides a unifying view for the engineering of self-adaptive (SA) and self-organising (SO) systems. We first identify requirements for designing and building trustworthy self-adaptive and self-organising systems. Second, we propose a generic framework combining design-time and run-time features, which permit the definition and analysis at design-time of mechanisms that both ensure and constrain the run-time behaviour of an SA or SO system, thereby providing some assurance of its self-* capabilities. We show how this framework applies to both an SA and an SO system, and discuss several current proof-of-concept studies on the enabling technologies.
Keywords
  • Metadata
  • policies
  • self-adaptive
  • self-organising
  • software architecture

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