Discrete-Event Simulation

Model and simulate discrete-event systems

To model discrete-event systems in the Simulink^® environment, consider using SimEvents^® software.

SimEvents provides a discrete-event simulation engine and component library for analyzing event-driven system models and optimizing performance characteristics such as latency, throughput, and packet loss. Queues, servers, switches, and other predefined blocks enable you to model routing, processing delays, and prioritization for scheduling and communication.

Topics

Discrete-Event Simulation in Simulink Models (SimEvents)
SimEvents software incorporates discrete-event system modeling into the Simulink time-based framework.
Create a Discrete-Event Model (SimEvents)
Build an event-based model using the SimEvents block library.
Manage Entities Using Event Actions (SimEvents)
Specify random intergeneration times for entities, manage entities with event actions in a queuing system.
Entities in a SimEvents Model (SimEvents)
Learn how entities fit into the modeling process.
Events and Event Actions (SimEvents)
Learn the basics of events and event actions in SimEvents.

Related Information

SimEvents
Understanding Discrete-Event Simulation

Featured Examples

M/M/1 Queuing System

Model a single-queue single-server system with a single traffic source and an infinite storage capacity. In the notation, the M stands for Markovian; M/M/1 means that the system has a Poisson arrival process, an exponential service time distribution, and one server. Queuing theory provides exact theoretical results for some performance measures of an M/M/1 queuing system and this model makes it easy to compare empirical results with the corresponding theoretical results.

(SimEvents)

Effects of Communication Delays on an ABS Control System

How stochastic network traffic causes timing latency and uncertainty in an anti-lock braking system that uses CAN communications.

(SimEvents)

Modeling Hybrid Systems - Tank Filling

A hybrid system with both continuous time and discrete event sections. The discrete event part models tanks, represented by entities, which are being queued and need to be filled up. Each tank has a "Capacity" attribute. The continuous time part models the process of filling up a tank, modeled by an Integrator. When a tank is filled to capacity, this event can be detected by a Hit Crossing block, which will generate a message corresponding to this event. The generated message will trigger the server to release the tank.

(SimEvents)

Model an Ethernet Communication Network with CSMA/CD Protocol

Model an Ethernet communication network with CSMA/CD protocol using Simulink messages and SimEvents.

Open Model