The development of techniques for quantitative, model-based evaluation of computer system
dependability has a long and rich history. A wide array of model-based evaluation …

This chapter introduces the central formalism of this book, Interactive Markov Chains 1
(IMC). It arises as an integration of interactive processes and continuous-time Markov …

This paper reviews the model of interactive Markov chains (IMCs, for short), an extension of
labelled transition systems with exponentially delayed transitions. We show that IMCs are …

The Mobius framework is an environment for supporting multiple modeling formalisms and
solution techniques. Models expressed in formalisms that are compatible with the framework …

In this paper we present a novel performance analysis technique for large scale systems
modelled in the stochastic process algebra PEPA. In contrast to the well-known approach of …

The behavior of many technical systems that are increasingly important in our every-day life
can be described by discrete states and state-changing events. Discrete event systems …

The exact performance analysis of large-scale software systems with discrete-state
approaches is difficult because of the well-known problem of state-space explosion. This …

The PEPA Eclipse Plug-in supports the creation and analysis of performance models, from
small-scale Markov models to large-scale simulation studies and differential equation …

Markovian process algebras, such as PEPA and stochastic π-calculus, bring a powerful
compositional approach to the performance modelling of complex systems. However, the …

In this tutorial we give an introduction to stochastic process algebras and their use in
performance modelling, with a focus on the PEPA formalism. A brief introduction is given to …