Mutual Influence of Opposite TCP Flows in a Congested Network

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...

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Bibliographic Details
Main Authors: Nikolai Mareev, Dmytro Syzov, Dmytry Kachan, Kirill Karpov, Maksim Iushchenko, Eduard Siemens
Format: Article
Language:English
Published: Anhalt University of Applied Sciences 2020-03-01
Series:Proceedings of the International Conference on Applied Innovations in IT
Subjects:
Online Access:https://icaiit.org/paper.php?paper=8th_ICAIIT_1/1_6
Description
Summary: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.
ISSN:2199-8876