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http://dx.doi.org/10.25673/32746
Titel: | Mutual Influence of Opposite TCP Flows in a Congested Network |
Autor(en): | Mareev, Nikolai Syzov, Dmytro Kachan, Dmytro Karpov, Kirill Iushchenko, Maksim Siemens, Eduard |
Erscheinungsdatum: | 2020 |
Sprache: | Englisch |
Schlagwörter: | Datenverarbeitung |
Zusammenfassung: | 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-Publikation |
Nutzungslizenz: | In Copyright |
Enthalten in den Sammlungen: | International Conference on Applied Innovations in IT (ICAIIT) |
Dateien zu dieser Ressource:
Datei | Beschreibung | Größe | Format | |
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1_6_Mareev.pdf | Mutual Influence of Opposite TCP Flows in a Congested Network | 1.09 MB | Adobe PDF | Öffnen/Anzeigen |