Data center TCP dataset

Jan Fesl; Tereza Čapková; Michal Konopa; Ladislav Beránek; Jan Fiala; Michal Houda; Petr Chládek; Jana Klicnarová; Radim Remeš; Marek Šulista; Klára Vocetková; Marie Feslová

Data in Brief (Jun 2024)

Data center TCP dataset

Jan Fesl,
Tereza Čapková,
Michal Konopa,
Ladislav Beránek,
Jan Fiala,
Michal Houda,
Petr Chládek,
Jana Klicnarová,
Radim Remeš,
Marek Šulista,
Klára Vocetková,
Marie Feslová

Affiliations

Jan Fesl: Faculty of Economics, Department of Applied Mathematics and Informatics, University of South Bohemia in České Budějovice, Czechia; Faculty of Information Technology, Department of Computer Systems, Czech Technical University in Prague, Czechia; Corresponding author at: Faculty of Economics, Department of Applied Mathematics and Informatics, University of South Bohemia in České Budějovice, Czechia.
Tereza Čapková: Faculty of Economics, Department of Applied Mathematics and Informatics, University of South Bohemia in České Budějovice, Czechia
Michal Konopa: Faculty of Economics, Department of Applied Mathematics and Informatics, University of South Bohemia in České Budějovice, Czechia
Ladislav Beránek: Faculty of Economics, Department of Applied Mathematics and Informatics, University of South Bohemia in České Budějovice, Czechia
Jan Fiala: Faculty of Economics, Department of Applied Mathematics and Informatics, University of South Bohemia in České Budějovice, Czechia
Michal Houda: Faculty of Economics, Department of Applied Mathematics and Informatics, University of South Bohemia in České Budějovice, Czechia
Petr Chládek: Faculty of Economics, Department of Applied Mathematics and Informatics, University of South Bohemia in České Budějovice, Czechia
Jana Klicnarová: Faculty of Economics, Department of Applied Mathematics and Informatics, University of South Bohemia in České Budějovice, Czechia
Radim Remeš: Faculty of Economics, Department of Applied Mathematics and Informatics, University of South Bohemia in České Budějovice, Czechia
Marek Šulista: Faculty of Economics, Department of Applied Mathematics and Informatics, University of South Bohemia in České Budějovice, Czechia
Klára Vocetková: Faculty of Economics, Department of Applied Mathematics and Informatics, University of South Bohemia in České Budějovice, Czechia
Marie Feslová: Faculty of Economics, Department of Applied Mathematics and Informatics, University of South Bohemia in České Budějovice, Czechia

Journal volume & issue: Vol. 54
p. 110522

Abstract

Read online

In this paper, we would like to introduce a unique dataset that covers thousands of network flow measurements realized through TCP in a data center environment. The TCP protocol is widely used for reliable data transfers and has many different versions. The various versions of TCP are specific in how they deal with link congestion through the congestion control algorithm (CCA). Our dataset represents a unique, comprehensive comparison of the 17 currently used versions of TCP with different CCAs. Each TCP flow was measured precisely 50 times to eliminate the measurement instability. The comparison of the various TCP versions is based on the knowledge of 18 quantitative attributes representing the parameters of a TCP transmission. Our dataset is suitable for testing and comparing different versions of TCP, creating new CCAs based on machine learning models, or creating and testing machine learning models, allowing the identification and optimization of the currently existing versions of TCP.

Published in Data in Brief

ISSN: 2352-3409 (Online)
Publisher: Elsevier
Country of publisher: United States
LCC subjects: Medicine: Medicine (General): Computer applications to medicine. Medical informatics; Science: Science (General)
Website: http://www.journals.elsevier.com/data-in-brief/

About the journal

Abstract

Keywords