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 ...

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 ...

mini-des is a lightweight Python framework for building simulations. It combines the computational efficiency of Discrete-Event Simulation (DES) with the flexible and intuitive modeling paradigm of ...

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 ...

Discover how discrete event simulation can optimize health care facility design by improving patient flow, resource use, and operational performance through data-driven, evidence-based design ...

Can't make these dates? R egister your interest here and we will be in touch when we have new dates. About the course Within healthcare decision-making, cohort Markov models and decision trees are ...

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.