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Real Data Center Network Traffic Dataset and Analysis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F24%3A00379159" target="_blank" >RIV/68407700:21240/24:00379159 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1109/CloudNet62863.2024.10815853" target="_blank" >https://doi.org/10.1109/CloudNet62863.2024.10815853</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/CloudNet62863.2024.10815853" target="_blank" >10.1109/CloudNet62863.2024.10815853</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Real Data Center Network Traffic Dataset and Analysis

  • Original language description

    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 name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of 2024 IEEE 13th International Conference on Cloud Networking (CloudNet)

  • ISBN

    979-8-3503-7656-2

  • ISSN

    2771-5663

  • e-ISSN

    2771-5663

  • Number of pages

    6

  • Pages from-to

    1-6

  • Publisher name

    Institute of Electrical and Electronic Engineers

  • Place of publication

    Piscataway

  • Event location

    Rio de Janeiro

  • Event date

    Nov 27, 2024

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article