Towards Dynamic Adaptation of Probabilistic Systems
S. Andova, L.P.J. Groenewegen and E.P. de Vink

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.