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arXiv · 2403.11388

Traffic Weaver: semi-synthetic time-varying traffic generator based on averaged time series

Piotr Lechowicz·Aleksandra Knapińska·Adam Włodarczyk·Krzysztof Walkowiak
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Abstract

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 recreate the signal encompass oversampling with a given strategy, stretching to match the integral of the original time series, 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.

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Piotr Lechowicz, Aleksandra Knapińska, Adam Włodarczyk, Krzysztof Walkowiak. 2024-03-18. Traffic Weaver: semi-synthetic time-varying traffic generator based on averaged time series. https://arxiv.org/abs/2403.11388

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