Towards dynamic adaptation of probabilistic systems

  • Authors:
  • S. Andova;L. P. J. Groenewegen;E. P. De Vink

  • Affiliations:
  • Formal Methods, Eindhoven, The Netherlands;FaST Group, LIACS, Leiden University, The Netherlands;Formal Methods, Eindhoven, The Netherlands

  • Venue:
  • ISoLA'10 Proceedings of the 4th international conference on Leveraging applications of formal methods, verification, and validation - Volume Part II
  • Year:
  • 2010

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Abstract

Dynamic system adaptation is modeled in the coordination language Paradigm as coordination of collaborating components. A special component McPal allows for addition of new behavior, of new constraints and of new control in view of a new collaboration. McPal gradually adapts the system dynamics. It is shown that the approach also applies to the probabilistic setting. For a client-server example, where McPal adds, step-by-step, probabilistic behavior to deterministic components, precise modeling of changing system dynamics is achieved. This modeling of the transient behavior, spanning the complete migration range from as-is collaboration to to-be collaboration, serves as a stepping stone to quantitative analysis of the system during adaptation.