Modeling Self-* Systems Using Chemically-Inspired Composable Patterns

  • Authors:
  • Akla-Esso Tchao;Matteo Risoldi;Giovanna Di Marzo Serugendo

  • Affiliations:
  • -;-;-

  • Venue:
  • SASO '11 Proceedings of the 2011 IEEE Fifth International Conference on Self-Adaptive and Self-Organizing Systems
  • Year:
  • 2011

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Abstract

The behaviour of self-* systems is complex to model from an algorithmic point of view. Designing and specifying self-* systems implies a great amount of work that can be sensibly reduced if models can be reused and composed in a modular way. This article discusses a chemically-inspired architecture and formalisms that facilitate the creation of modular, reusable models based on behavioural patterns inspired by behaviours found in nature. The architecture is based on chemical-like laws ruling the evolution of the system. We show the reuse of general behavioural patterns using three concrete examples of self-* systems from different domains.