Interpretable Nonroutine Network Traffic Prediction with a Case Study
Fuente:
arXiv
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| Autores principales: | , , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866910658325381120 |
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| author | Wang, Liangzhi Zhu, Haoyuan Zhang, Jiliang Zhang, Zitian Zhang, Jie |
| author_facet | Wang, Liangzhi Zhu, Haoyuan Zhang, Jiliang Zhang, Zitian Zhang, Jie |
| contents | This paper pioneers a nonroutine network traffic prediction (NNTP) method to prospectively provide a theoretical basis for avoiding large-scale network disruption by accurately predicting bursty traffic. Certain events that impact user behavior subsequently trigger nonroutine traffic, which significantly constrains the performance of network traffic prediction (NTP) models. By analyzing nonroutine traffic and the corresponding events, the NNTP method is pioneered to construct interpretable NTP model. Based on the real-world traffic data, the network traffic generated during soccer games serves as a case study to validate the performance of the NNTP method. The numerical results indicate that our prediction closely fits the traffic pattern. In comparison to existing researches, the NNTP method is at the forefront of finding a balance among interpretability, accuracy, and computational complexity. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_14550 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Interpretable Nonroutine Network Traffic Prediction with a Case Study Wang, Liangzhi Zhu, Haoyuan Zhang, Jiliang Zhang, Zitian Zhang, Jie Networking and Internet Architecture This paper pioneers a nonroutine network traffic prediction (NNTP) method to prospectively provide a theoretical basis for avoiding large-scale network disruption by accurately predicting bursty traffic. Certain events that impact user behavior subsequently trigger nonroutine traffic, which significantly constrains the performance of network traffic prediction (NTP) models. By analyzing nonroutine traffic and the corresponding events, the NNTP method is pioneered to construct interpretable NTP model. Based on the real-world traffic data, the network traffic generated during soccer games serves as a case study to validate the performance of the NNTP method. The numerical results indicate that our prediction closely fits the traffic pattern. In comparison to existing researches, the NNTP method is at the forefront of finding a balance among interpretability, accuracy, and computational complexity. |
| title | Interpretable Nonroutine Network Traffic Prediction with a Case Study |
| topic | Networking and Internet Architecture |
| url | https://arxiv.org/abs/2409.14550 |