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...

This contribution consists of two parts. In the first part general possibilities for the combination of Modelica models and discrete event models are discussed on a conceptual level. It is shown that it is necessary to support asynchronous behavior and that it is useful to represent sampled data behavior of discrete event systems in an interrupt-driven style for fast simulation. The characteriz...

Nowadays there is a large availability of discrete event simulation software that can be easily used in different domains: from industry to supply chain, from healthcare to business management, from training to complex systems design. Simulation engines of commercial discrete event simulation software use specific rules and logics for simulation time and events management. Difficulties and limi...

Software process models have been simulated using system dynamics and discrete modeling paradigms. System dynamics models describe the interaction between project factors, but do not easily represent queues and discrete process steps. On the other hand, discrete event models describe process steps, but may not have enough events to represent feedback loops accurately. We develop a combined mode...

The DEVS formalism supports modeling of discrete event systems in a hierarchical, modular manner based on the object-oriented world view. System modeling requires not only understanding of modeling framework but also domain kno-wledge of the system. Therefore, successful modeling may need a means to represent a system which is understandable to both domain experts and M&S experts. This paper pr...

We present a formal Modeling and Simulation (M&S) methodology for hybrid control of networking systems. The method is used for analysis, design and implementation of Quality of Service (QoS) control systems in Network Processor (NP)-based applications. We apply continuous Control Systems Theory to enforce Admission Control strategies into discrete–event network traffic. This represents a hybrid...

A mobile agent is an autonomous software agent capable of moving from one computer to another while performing its tasks. We view the agent as a discrete event system in the view of its computation and communication. This paper presents a methodology for modeling and simulation of such a mobile agent system as a discrete event system. The methodology is based on the Mobile Discrete Event System...