Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/32746
Title: Mutual Influence of Opposite TCP Flows in a Congested Network
Author(s): Mareev, Nikolai
Syzov, Dmytro
Kachan, Dmytro
Karpov, Kirill
Iushchenko, Maksim
Siemens, EduardLook up in the Integrated Authority File of the German National Library
Issue Date: 2020
Language: English
Subjects: Datenverarbeitung
Abstract: 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.
URI: https://opendata.uni-halle.de//handle/1981185920/32930
http://dx.doi.org/10.25673/32746
Open Access: Open access publication
License: In Copyright
Appears in Collections:International Conference on Applied Innovations in IT (ICAIIT)

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