This paper studies a service system in which arriving customers are provided with
information about the delay they will experience. Based on this information, they decide to …

Many service providers often categorize their users into multi-classes, depending on their
service requirements. Each class has strict quality of service (QoS) demands (eg, minimum …

We devise a Monte Carlo based method for detecting whether a non-negative Markov chain
is stable for a given set of parameter values. More precisely, for a given subset of the …

We present a novel empirical method of stochastic stability evaluation of non-Markovian
queueing models. We use this method to evaluate the stability of the multiserver job model …

In this paper we suggest the method for performance estimation of a realistic size
supercomputer model. To do so, we apply exponential splitting to the generalized semi …

In the optimization of technical systems focused on a specific functional purpose (reliability,
safety, and availability) with the use of simulation methods, an important parameter is the …

It has been shown that, under some service policies, a queueing network can be unstable
even if the load of every station is less than one. Although the stability of queueing systems …

Many service providers often categorize their users into multi-classes, depending on their
service requirements. Each class has strict quality of service (QoS) demands (eg, minimum …

Multiclass queueing networks (McQNs) extend the classical concept of the Jackson network
by allowing jobs of different classes to visit the same server. Although such a generalization …

This thesis is about co** with variability in outcomes for complex stochastic systems. We
focus on systems where jobs arrive randomly throughout time to utilise resources for a …