A Modest Markov Automata Tutorial (Artifact)

Datacite citation style:
Hartmanns, Arnd (2019): A Modest Markov Automata Tutorial (Artifact). Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:5a73169e-b494-411b-b3a8-051e62efba9e
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
University of Twente logo
usage stats
998
views
149
downloads
licence
cc-by.png logo CC BY 4.0
The CC-BY license applies to all files in the dataset except for the software tools in files "Modest-*-x64.zip", which have their own licenses (in files named "License.txt" inside the .zip files).
Distributed computing systems provide many important services. To explain and understand why and how well they work, it is common practice to build, maintain, and analyse models of the systems' behaviours. Markov models are frequently used to study operational phenomena of such systems. They are often represented with discrete state spaces, and come in various flavours, overarched by Markov automata. In our tutorial paper titled "A Modest Markov Automata Tutorial", we give an introduction to the formalism of Markov automata, to practical modelling of Markov automata in the Modest language, and to their analysis with the Modest Toolset. As case studies, we optimise an attack on Bitcoin, and evaluate the performance of a small but complex resource-sharing computing system. This artifact contains (1) all Modest models and (2) all command lines to run the Modest Toolset presented in the paper, and (3) a compatible version of the Modest Toolset.
history
  • 2019-09-24 first online, published, posted
publisher
4TU.Centre for Research Data
format
media types: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, application/zip, text/csv, text/plain, text/x-msdos-batch
organizations
University of Twente, Faculty Of Electrical Engineering, Mathematics and Computer Science
contributors
  • Hermanns, H. (Holger) orcid logo

DATA

files (1)