Stochastic Flow Models (SFMs) are stochastic ystems that abstract the dynamics of complex discrete event systems involving the control of sharable resources. SFMs have been used to...
Parallel discrete event simulation is a useful technique to improve performance of sequential discrete event simulation. We consider the Time Warp algorithm for asynchronous distr...
Development of computerized embedded control systems is difficult because it brings together systems theory, electrical engineering and computer science. The engineering and analys...
Marcel Verhoef, Peter Visser, Jozef Hooman, Jan F....
Most work to date in parallel and distributed discrete event simulation is based on assigning precise time stamps to events, and time stamp order event processing. An alternative ...
Lecturing a Discrete Event Simulation course implies some challenges for the instructors. These challenges implies taking decisions from the design of the course to the selection ...