In recent years, the use of discrete event simulation to solve problems from natural sciences has become more common as the dynamic time evolution of the real-world system is naturally incorporated in the discrete event system model. The parallel simulation of these discrete event systems puts some extra requirements on the parallel synchronization schemes such as Time Warp. The large scientifi...

This document deals with techniques used to reduce the number of nullmessages in a distributed discrete{event simulation. Nullmessages are used to avoid deadlocks which can occurr when simulating physical systems (networks) consisting of one or more physical processes. In the brute{force simplest algorithm 10] the number of nullmessages is very high. Reducing the nullmessages number assures imp...

This article is a brief exposure of the process approach to a newly emerging area called "discrete event systems" in control theory and summarizes some of the recent developments in this area. Discrete event systems is an area of research that is developing within the interstices of computer, control and communication sciences. The basic direction of research addresses issues in the analysis an...

Discrete event simulation is used to model, study, plan, and improve systems in which random events play a dominant role. These systems are often driven by complicated mathematical and logical relationships, making it impossible to derive an analytical solution. The journal OR/MS Today cites simulation software as one of the most widely used tools in operations research, due in part to its appl...