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Stochastic Model Checking

Mariëlle Stoelinga

2014281 pagesabout 4–6 hours
2014
first published
  • 2014Springer Berlin / Heidelberg · 281 pages · ENGISBN 9783662454886
  • 2014Springer London, Limited · 281 pages · ENGISBN 9783662454893

The use of stochastic models in computer science is wide spread, for instance in performance modeling, analysis of randomized algorithms and communication protocols which form the structure of the Internet. Stochastic model checking is an important field in stochastic analysis. It has rapidly gained popularity, due to its powerful and systematic methods to model and analyze stochastic systems. This book presents 7 tutorial lectures given by leading scientists at the ROCKS Autumn School on Stochastic Model Checking, held in Vahrn, Italy, in October 2012. The 7 chapters of this tutorial went through two rounds of reviewing and improvement and are summarizing the state-of-the-art in the field, centered around the tree areas of stochastic models, abstraction techniques and stochastic model checking.

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