Automation of Photonic Networks Using Machine Learning: Case Studies and Future Works
Although a "Self-Driving" photonic network is still a long way to go, many time-consuming complex tasks and decision making in photonic networks can be automated using machine learning, and other data-driven solutions. This study explores recent contributions towards photonic network autom...
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| Veröffentlicht in: | IEEE photonics technology letters 2021-12, Vol.33 (23), p.1317-1320 |
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| container_title | IEEE photonics technology letters |
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| creator | Rahman, Sabidur Seixas, Nilton F. S. Naznin, Mahmuda Figueiredo, Gustavo B. |
| description | Although a "Self-Driving" photonic network is still a long way to go, many time-consuming complex tasks and decision making in photonic networks can be automated using machine learning, and other data-driven solutions. This study explores recent contributions towards photonic network automation, such as alarm prediction, fault localization, resource auto-scaling, quality of transmission prediction, dynamic controller placement, automated service restoration, resource allocation and optimization, minimization of electricity and power supply cost, user data analysis, etc. The studies explored in this letter, provide solution approaches to these problems using wide range of data-driven methods, machine learning, AI, and deep learning based methods. This study discusses different challenges involving these interesting research areas and provides directions for future research opportunities as well. |
| doi_str_mv | 10.1109/LPT.2021.3117482 |
| format | Article |
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| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Artificial intelligence Automation Cost analysis cost savings Data analysis data-driven algorithms Decision making Deep learning Fault location Heuristic algorithms Machine learning Optical fiber networks Optimization Photonic network automation Photonics Predictive models Reinforcement learning Resource allocation Resource management Service restoration Task complexity |
| title | Automation of Photonic Networks Using Machine Learning: Case Studies and Future Works |
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