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

Autor: Apreutesey, Anna Maria Yu., Korolkova, Anna V., Kulyabov, Dmitry S.
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: in CEUR Workshop Proceedings, vol. 2639, 130-140 (2020)
Druh dokumentu: Working Paper
Popis: 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.
Comment: in English; in Russian
Databáze: arXiv