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

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. © 2020 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). CEUR Workshop Proceedings (CEUR-WS.org)

Conference proceedings
Publisher
CEUR-WS
Language
English
Pages
130-140
Status
Published
Volume
2639
Year
2020
Organizations
  • 1 Department of Applied Probability and Informatics, Peoples' Friendship University of Russia (RUDN University), 6, Miklukho-Maklaya St., Moscow, 117198, Russian Federation
  • 2 Laboratory of Information Technologies, Joint Institute for Nuclear Research, 6, Joliot-Curie St., Dubna, Moscow region, 141980, Russian Federation
Keywords
Active queue management; Julia; Modelica; Random Early Detection; Simulation
Date of creation
02.11.2020
Date of change
01.03.2021
Short link
https://repository.rudn.ru/en/records/article/record/65173/
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