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.
Authors
- Pavel Tvrdı́k (ORCID: https://orcid.org/0000-0002-7195-4579)
- Jan Fesl
- Michal Polák (ORCID: https://orcid.org/0000-0002-5061-1534)
- Daniel Sedlák
Institutions
- Czech Technical University in Prague (CZ)
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