Traffic weaver: Semi-synthetic time-varying traffic generator based on averaged time series

Traffic Weaver is a Python package developed to generate a semi-synthetic signal (time series) with finer granularity, based on averaged time series, in a manner that, upon averaging, closely matches the original signal provided. The key components utilized to generate the signal encompass oversampl...

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Bibliographic Details
Published in:SoftwareX 2024-12, Vol.28, p.101946, Article 101946
Main Authors: Lechowicz, Piotr, Knapińska, Aleksandra, Włodarczyk, Adam, Walkowiak, Krzysztof
Format: Article
Language:English
Subjects:
Semi-synthetic traffic generator
Telecommunication network
Time varying traffic
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Description
Summary:Traffic Weaver is a Python package developed to generate a semi-synthetic signal (time series) with finer granularity, based on averaged time series, in a manner that, upon averaging, closely matches the original signal provided. The key components utilized to generate the signal encompass oversampling, recreating from average with a given strategy, stretching to match the integral of the original time series, interpolating, smoothing, repeating, applying trend, and adding noise. The primary motivation behind Traffic Weaver is to furnish semi-synthetic time-varying traffic in telecommunication networks, facilitating the development and validation of traffic prediction models, as well as aiding in the deployment of network optimization algorithms tailored for time-varying traffic.
ISSN:2352-7110
2352-7110
DOI:10.1016/j.softx.2024.101946