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17th International Conference on Quantitative Evaluation of SysTems (QEST 2020)

QEST 2020 will be held in Vienna, Austria
at the TU Vienna, August 31 - September 3, 2020

Colocated with CONCUR, FORMATS, and FMICS,
QEST will be part of QONFEST

For 17 years now, the International Conference on Quantitative Evaluation of Systems (QEST) has been the leading forum on quantitative evaluation and verification of computer systems and networks, through stochastic models and measurements.

This is an open call for papers related to the themes of the QEST conference series. Submission deadlines for abstracts and papers are 27 March and April 3, 2020 respectively.

For more details, see the Call for Papers.


General Chair: Ezio Bartocci (TU Vienna, Austria)
PC co-chairs: Marco Gribaudo (Politecnico di Milano, IT)
David N. Jansen (Chinese Academy of Sciences, CN)
Anne Remke (University of Münster, DE)
Publicity chair: Carlos E. Budde (University of Twente, NL)

The International Conference on Quantitative Evaluation of SysTems (QEST) is the leading forum on evaluation and verification of computer systems and networks, through stochastic models and measurements.

Performance metrics of interest include response time, reliability, availability, safety, security, survivability, correctness, timeliness, and efficiency. Areas of interest include modelling formalisms and methodologies, measurements, analytical and numerical evaluation, simulation and verification, and theory of probabilistic, concurrent and non-deterministic behaviour. Also of interest are case studies showing the role of quantitative evaluation in the design of systems including computer architectures, distributed and fault tolerant systems, communication systems, embedded systems, web-based systems, and safety-critical systems.

Moreover, tools for supporting the practical application of research results in all the above areas are of special interest for QEST and therefore tool papers are sought.

In short, QEST aims to create a sound methodological basis for assessing and designing trustworthy computing systems and networks.