Languages for modeling the RED active queue management algorithms: Modelica vs. Julia

TL;DR

This paper compares Modelica and Julia for modeling hybrid systems with continuous and discrete behaviors, focusing on a network traffic system using TCP and RED algorithms.

Contribution

It demonstrates the capabilities of Modelica and Julia in implementing hybrid system models with a focus on network traffic management.

Findings

Modelica effectively models hybrid network systems.

Julia provides flexible implementation for discrete-continuous interactions.

Both languages can simulate RED algorithm behavior accurately.

Abstract

This work is devoted to the study of the capabilities of the Modelica and Julia programming languages for the implementation of a continuously discrete paradigm in modeling hybrid systems that contain both continuous and discrete aspects of behavior. A system consisting of an incoming stream that is processed according to the Transmission Control Protocol (TCP) and a router that processes traffic using the Random Early Detection (RED) algorithm acts as a simulated threshold system.