Get Started with SimEvents
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.
With SimEvents, you can study the effects of task timing and resource usage on the performance of distributed control systems, software and hardware architectures, and communication networks. You can also conduct operational research for decisions related to forecasting, capacity planning, and supply-chain management.
Tutorials
- Discrete-Event Simulation in Simulink Models
SimEvents software incorporates discrete-event system modeling into the Simulink® time-based framework.
- Create a Discrete-Event Model
Build an event-based model using the SimEvents block library.
- Explore Statistics and Visualize Simulation Results
Access statistics through SimEvents blocks, examine, and experiment with behavior of the D/D/1 queuing example model, visualize, and animate simulations.
- Manage Entities Using Event Actions
Specify random intergeneration times for entities, manage entities with event actions in a queuing system.
- Trigger Simulink Components with Discrete Events in SimEvents
This example shows how to use Simulink Function blocks to timestamp entities, pass entity attributes to Simulink® components, and create notification events for routing.
- Create a Hybrid Model with Time-Based and Event-Based Components
Simulate a hybrid system that has SimEvents and Simulink parts.
About Discrete-Event Simulation
- Entities in a SimEvents Model
Learn how entities fit into the modeling process.
- Events and Event Actions
Learn the basics of events and event actions in SimEvents.
Featured Examples
Generating and Initializing Entities
Different ways to generate and initialize entities and their attribute values.
M/M/1 Queuing System
An M/M/1 queue is a queuing system that has a Poisson arrival process, an exponential service time distribution, and one server. This example models an M/M/1 queuing system with a single traffic source and infinite storage capacity.
Comparing Queuing Strategies
Have you ever been in a supermarket checkout and wondered why you are in the slowest line? This example shows how queuing systems can be modeled in SimEvents for this type of application. Two parallel versions of a simple model of a four register supermarket counter are presented - one that uses four separate queues and one with a single "serpentine" queue that feeds all registers.
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.
Distributing Multi-Class Jobs to Service Stations
Model a central resource that manages distributed processing according to an explicit formula. The example describes a distribution center that manages a series of processes that each job undergoes, with each job carrying information about the series of processes that it must undergo. One of the applications where this could be useful is when you want to model a central dispatcher that routes calls from one call processing station to another.
Modeling Message Communication Patterns with SimEvents
Create common communication patterns using SimEvents®. In message-based communication models, you can use SimEvents® to model and simulate middleware, and investigate the effects of communication and the environment on your distributed architecture.
Videos
Understanding Discrete-Event Simulation, Part1: What is
Discrete-Event Simulation?
Learn the basics of discrete-event simulation, and explore how you
can use it to build a process model in this MATLAB® Tech Talk by Will Campbell.
SimEvents for Model-Based Design
Add system simulation or environment modeling to your algorithm
modeling and graphical programming using SimEvents.
SimEvents for Operations Research
Model, analyze, and optimize various operational processes using
SimEvents.
