Developing a predictive model to estimate the behavior of variables in a network infrastructure

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Abstract

The article presents the results found by modeling the variable network packet loss (for a data stream of television signals) and throughput (for a digital video traffic sequence) in a wireless network topology. This is done to estimate its future behavior using autoregressive models integrated with moving averages (ARIMA). All this allows identifying the strength of this type of time series to be applied in internetworking with the purpose of improving its performance. The proposal development is based on the use of the Box- Jenkins methodology. This type of univariate time series is a good candidate to generate behavior predictions in telecommunications networks.

Translated title of the contributionDeveloping a predictive model to estimate the behavior of variables in a network infrastructure
LanguageSpanish
Pages143-154
Number of pages12
JournalInformacion Tecnologica
Volume26
Issue number5
DOIs
Publication statusPublished - 2015

Fingerprint

infrastructure
Time series
time series analysis
time series
telecommunications
Computer Communication Networks
television
Television
Packet loss
telecommunication
traffic
topology
Telecommunication networks
Wireless networks
Throughput
Topology
prediction
methodology
modeling
loss

Keywords

    ASJC Scopus subject areas

    • Energy(all)
    • Geotechnical Engineering and Engineering Geology
    • Industrial and Manufacturing Engineering
    • Food Science
    • Computer Science Applications
    • Strategy and Management

    Cite this

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