DMCA
Towards dynamic adaptation of probabilistic systems (2010)
| Venue: | In Proc. ISoLa 2010, Part II, Heraclion. LNCS 6416 |
| Citations: | 2 - 1 self |
BibTeX
@INPROCEEDINGS{Andova10towardsdynamic,
author = {S. Andova and L. P. J. Groenewegen and E. P. De Vink},
title = {Towards dynamic adaptation of probabilistic systems},
booktitle = {In Proc. ISoLa 2010, Part II, Heraclion. LNCS 6416},
year = {2010}
}
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Abstract
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. 1
Keyphrases
probabilistic system towards dynamic adaptation system dynamic special component mcpal dynamic system adaptation complete migration range new collaboration as-is collaboration to-be collaboration new constraint deterministic component client-server example probabilistic setting probabilistic behavior new behavior coordination language paradigm quantitative analysis transient behavior new control
