Learn about queuing theory for scheduling, resource allocation, and traffic flow with MATLAB and Simulink. Resources include examples and documentation.

In this post, I will show a discrete event simulation on a single-server queuing system using the numpy and pandas libraries from python. The objective of running a simulation is to measure...

This example shows how to 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.

This example shows how to model basic queueing systems in a discrete-event simulation using the Entity Queue and Entity Server blocks. The Entity Queue block stores entities for a length of time that cannot be determined in advance.

Python and open source libraries are used for a tutorial on discrete event simulation (DES) of a number of queueing systems that arise in modern packet networks. Fundamental queueing systems such as M/M/1 and M/M/1/k are simulated along with traffic shapers (leaky bucket/token bucket), and queueing disciplines such as weighted fair queueing ...