Full of practical examples, Introduction to Scheduling presents the basic concepts and
methods, fundamental results, and recent developments of scheduling theory. With …

Perfect simulation, or coupling from the past, is an efficient technique for sampling the steady
state of monotone discrete time Markov chains. Indeed, one only needs to consider two …

Perfect sampling is a technique that uses coupling arguments to provide a sample from the
stationary distribution of a Markov chain in a finite time without ever computing the …

We present a new version of the time-parallel simulation with fix-up computations for
monotone systems. We use the concept of monotony of a model related to the initial state of …

In this chapter, we show how to compare the performance of stochastic task resource
systems. Here, task resource systems are modeled by dynamic systems whose inputs are …

In this paper we discuss different monotonicity definitions applied in stochastic modelling.
Obviously, the relationships between the monotonicity concepts depends on the relation …

Simulation approaches are alternative methods to estimate the stationary be-havior of
stochastic systems by providing samples distributed according to the stationary distribution …

The solution of Markovian models with large state spaces is one of the major challenges in
performance evaluation. Structured formalisms such as Stochastic Automata Networks …

Queuing systems are of fundamental interest for modeling communication networks,
production lines, operating systems,.... Servers represent the access of customers to …

In this chapter, we show how to compare the performance of stochastic task resource
systems. Here, task resource systems are modeled by dynamic systems whose inputs are …