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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2403.11388 |
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| _version_ | 1866914718193549312 |
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| author | Lechowicz, Piotr Knapińska, Aleksandra Włodarczyk, Adam Walkowiak, Krzysztof |
| author_facet | Lechowicz, Piotr Knapińska, Aleksandra Włodarczyk, Adam Walkowiak, Krzysztof |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_11388 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Traffic Weaver: semi-synthetic time-varying traffic generator based on averaged time series Lechowicz, Piotr Knapińska, Aleksandra Włodarczyk, Adam Walkowiak, Krzysztof Networking and Internet Architecture 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. |
| title | Traffic Weaver: semi-synthetic time-varying traffic generator based on averaged time series |
| topic | Networking and Internet Architecture |
| url | https://arxiv.org/abs/2403.11388 |