Paper
25 May 2023 A generic framework for cloud-native network function
Wanyi Zhu, Qingyun Meng, Qian Wang, Baohong Lin, Zhilan Huang, ChunYu Shi
Author Affiliations +
Proceedings Volume 12712, International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2023); 127120C (2023) https://doi.org/10.1117/12.2678836
Event: International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2023), 2023, Huzhou, China
Abstract
With the introduction of Cloud-native thinking and container technology, the industry trend is to transform network functions into cloud-native implementation with container bearing, that is, CNF (Cloud-native Network Function). Existing CNF research focuses on both CNF collaboration with CISM systems and CNF performance enhancements. This paper focuses on the implementation of CNF itself, and proposes a general CNF framework that can be assembled on demand to provide different network services with good scalability.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wanyi Zhu, Qingyun Meng, Qian Wang, Baohong Lin, Zhilan Huang, and ChunYu Shi "A generic framework for cloud-native network function", Proc. SPIE 12712, International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2023), 127120C (25 May 2023); https://doi.org/10.1117/12.2678836
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KEYWORDS
Network architectures

Clouds

Telecommunication networks

Interfaces

Design and modelling

Databases

Control systems

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