Traffic Weaver: semi-synthetic time-varying traffic generator based on averaged time series
<|reference_start|>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 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.<|reference_end|>
@article{lechowicz2024traffic,
    title={Traffic Weaver: semi-synthetic time-varying traffic generator based on
  averaged time series},
    author={Piotr Lechowicz, Aleksandra Knapi'nska, Adam W{l}odarczyk, Krzysztof
  Walkowiak},
    journal={arXiv preprint arXiv:2403.11388},
    year={2024},
    archivePrefix={arXiv},
    eprint={2403.11388},
    primaryClass={cs.NI}
}