Suzana Andova

Performance Analysis of Chi Models using Discrete-Time Probabilistic Reward Graphs

Dr Suzana Andova (University Eindhoven, NL)

Abstract:

We propose the model of discrete-time probabilistic reward graphs (DTPRG) for performance analysis of systems exhibiting discrete deterministic time delays and probabilistic behavior, via their interpretation as discrete-time Markov reward chains. We build on the chi environment, a full-fledged platform for qualitative and quantitative analysis of timed systems based on the modeling language chi. The extension proposed in this paper is based on timed branching bisimulation reduction followed by tailored inclusion of probabilities and rewards. The approach is applied in an industrial case study of a turntable drill. The resulting performance measures are shown to be comparable to those obtained by existent methods of the chi environment, viz. simulation and continuous-time Markovian analysis.

BSc/MSc/Diploma Topics
Teaching WS 2012/13
Hybrid Systems Group

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Joost-Pieter Katoen has been appointed as a member of the renowned Academia Europaea (Academy of Europe), a European, non-governmental association acting as an Academy whose members are scientists and scholars who collectively aim to promote learning, education and research.

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Marijn Jongerden received the German MMB (Messung, Modellierung und Bewertung von Rechensystemen) Award 2012 of the GI/ITG-Committee for Measurement, Modelling and Evaluation of Computing Systems for his PhD-thesis on "Model-based energy analysis of battery powered systems". His work was supervised by Boudewijn Haverkort (Twente) and Joost-Pieter Katoen.

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