Multi-Step Traffic Prediction for Multi-Period Planning in Optical Networks
Fuente:
arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866929711181987840 |
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| author | Maryam, Hafsa Panayiotou, Tania Ellinas, Georgios |
| author_facet | Maryam, Hafsa Panayiotou, Tania Ellinas, Georgios |
| contents | A multi-period planning framework is proposed that exploits multi-step ahead traffic predictions to address service overprovisioning and improve adaptability to traffic changes, while ensuring the necessary quality-of-service (QoS) levels. An encoder-decoder deep learning model is initially leveraged for multi-step ahead prediction by analyzing real-traffic traces. This information is then exploited by multi-period planning heuristics to efficiently utilize available network resources while minimizing undesired service disruptions (caused due to lightpath re-allocations), with these heuristics outperforming a single-step ahead prediction approach. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_08314 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Multi-Step Traffic Prediction for Multi-Period Planning in Optical Networks Maryam, Hafsa Panayiotou, Tania Ellinas, Georgios Networking and Internet Architecture Machine Learning A multi-period planning framework is proposed that exploits multi-step ahead traffic predictions to address service overprovisioning and improve adaptability to traffic changes, while ensuring the necessary quality-of-service (QoS) levels. An encoder-decoder deep learning model is initially leveraged for multi-step ahead prediction by analyzing real-traffic traces. This information is then exploited by multi-period planning heuristics to efficiently utilize available network resources while minimizing undesired service disruptions (caused due to lightpath re-allocations), with these heuristics outperforming a single-step ahead prediction approach. |
| title | Multi-Step Traffic Prediction for Multi-Period Planning in Optical Networks |
| topic | Networking and Internet Architecture Machine Learning |
| url | https://arxiv.org/abs/2404.08314 |