There is much experimental evidence that network traffic processes exhibit ubiquitous properties of self-similarity and long-range dependence, i.e., of correlations over a wide ran...
We present a GUI-based tool supporting the stochastic process algebra PEPA with modules for performance evaluation through Markovian steady-state analysis, fluid flow analysis, ...
Traffic engineering of IP networks requires the characterization and modeling of network traffic on multiple time scales due to the existence of several statistical properties that...
In this paper we provide a general method to derive productform solutions for stochastic models. We take inspiration from the Reversed Compound Agent Theorem [14] and we provide a...
A decision process in which rewards depend on history rather than merely on the current state is called a decision process with non-Markovian rewards (NMRDP). In decisiontheoretic...