Our models will execute on sequential computers in a single process. The techniques used on parallel computers may differ. In a simulation we deal with two notions of time: simulation time -- the time ...

We then move on to some more advanced concepts, and create a full process model: This tutorial has been set up to run on your browser without the need to install any components. This is achieved using ...

Abstract: This advanced tutorial explores some recent applications of artificial neural networks (ANNs) to stochastic discrete-event simulation (DES). We first review some basic concepts and then give ...

A comprehensive simulation project modeling a three-tier web application (Presentation → App Server → Database) with caching and load balancing capabilities. Built using Python, SimPy, and Jupyter ...

This module provides an in-depth review of simulation rationale, techniques and methodologies with a particular focus on discrete event simulation and their practical application to inform healthcare ...

Based on presentation to IEEE's 2010 Winter Simulation Conference, Baltimore, Dec. 5-8, 2010. A discrete-event simulation technique, combined with optimization tools, permits easy management of ...

Abstract: Benchmarks are essential tools in computer science for measuring hardware and software performance. In the Discrete-Event System (DES) community, improving simulation performance is crucial.