Proceedings of the International Conference on Applied Innovations in IT (Mar 2020)

Mutual Influence of Opposite TCP Flows in a Congested Network

  • Nikolai Mareev,
  • Dmytro Syzov,
  • Dmytry Kachan,
  • Kirill Karpov,
  • Maksim Iushchenko,
  • Eduard Siemens

DOI
https://doi.org/10.25673/32746
Journal volume & issue
Vol. 8, no. 1
pp. 35 – 39

Abstract

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With the rapid growth of the Internet community, some of the simple and familiar tasks related to the field of data transfer are becoming increasingly complex. A modern worldwide network can offer high-speed channels and many opportunities for IT companies that provide high load through the Internet. This creates a bunch of new problems for software solutions and algorithms in the field of high-speed digital c ommunications. This article observes one of these problems: the mutual influence between two mutually opposite single-threaded TCP flows with the various congestion control algorithms. In this paper, some of the most efficient congestion control algorithms were tested on a real network using channel emulation equipment. The test results presented in the article show that two-way TCP data transfer with modern congestion control algorithms can lead to a significant performance drop.

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