Real Data Center Network Traffic Dataset and Analysis

Data centers create the backbone of the modern Internet. However, internal network traffic characteristics are closed know-how of data centers. We have collected an internal network traffic analysis based on the data from one of major world data centers. We have analysed 4 internal network traffic characteristics (clustering of IP addresses, application traffic patterns, frequency of changes in cluster topologies and histograms of communicating IP address pairs). The data set has been published at GitHub.

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Publication Details

Published
2024-11-27
DOI
https://doi.org/10.1109/cloudnet62863.2024.10815853
Citations
1
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.35
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article

Real Data Center Network Traffic Dataset and Analysis

Pavel Tvrdı́k, Jan Fesl, Michal Polák, Daniel Sedlák
1 citations
Network Security and Intrusion Detection
0.35
article

Real Data Center Network Traffic Dataset and Analysis

Pavel Tvrdı́k, Jan Fesl, Michal Polák, Daniel Sedlák
article en
1 citations

Abstract

Data centers create the backbone of the modern Internet. However, internal network traffic characteristics are closed know-how of data centers. We have collected an internal network traffic analysis based on the data from one of major world data centers. We have analysed 4 internal network traffic characteristics (clustering of IP addresses, application traffic patterns, frequency of changes in cluster topologies and histograms of communicating IP address pairs). The data set has been published at GitHub.

Czech Technical University in Prague (CZ)
Openalex Percentile: Top 35%
Network Security and Intrusion Detection
0.35
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