Self-Optimizing Optical Network With Cloud-Edge Collaboration: Architecture and Application
| Autor: | Jie Zhang, Zhuotong Li, Feng Wang, Yongli Zhao, Liu Mingzhe, Yajie Li, Zebin Zeng, Xinghua Li, Xiangjun Xin |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
lcsh:T58.5-58.64
OTN lcsh:Information technology Computer science business.industry Distributed computing Cloud computing lcsh:QA75.5-76.95 GeneralLiterature_MISCELLANEOUS SDN on-board AI cloud-edge collaboration Intelligent Network Optical Transport Network Network interface controller Network performance lcsh:Electronic computers. Computer science Mobile telephony Software-defined networking business Edge computing control-layer AI |
| Zdroj: | IEEE Open Journal of the Computer Society, Vol 1, Pp 220-229 (2020) |
| ISSN: | 2644-1268 |
| DOI: | 10.1109/ojcs.2020.3030957 |
| Popis: | As an important bearer network of the fifth generation (5G) mobile communication technology, the optical transport network (OTN) needs to have high-quality network performance and management capabilities. Proof by facts, the combination of artificial intelligence (AI) technology and software-defined networking (SDN) can improve significant optimization effects and management for optical transport networks. However, how to properly deploy AI in optical networks is still an open issue. The training process of AI models depends on a large amount of computing resources and training data, which undoubtedly increases the carrying burden and operating costs of the centralized network controller. With the continuous upgrading of functions and performance, small AI-based chips can be used in optical networks as on-board AI. The emergence of edge computing technology can effectively relieve the computation load of network controllers and provide high-quality AI-based networks optimization functions. In this paper, we describe an architecture called self-optimizing optical network (SOON) with cloud-edge collaboration, which introduces control-layer AI and on-board AI to achieve intelligent network management. In addition, this paper introduces several cloud-edge collaborative strategies and reviews some AI-based network optimization applications to improve the overall network performance. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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