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1. 中国电信股份有限公司研究院,北京 102209
2. 中国电信集团有限公司,北京 100045
3. 中国电信股份有限公司福建分公司,福建 福州 350001
Published Online:2021-12,
Published:20 December 2021
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Le ZHANG, Yanqin WU, Ke ZHANG, et al. Research and implementation of intelligent endogenous technology for SDN cooperative controller[J]. Telecommunications science, 2021, 37(12): 101-109.
Le ZHANG, Yanqin WU, Ke ZHANG, et al. Research and implementation of intelligent endogenous technology for SDN cooperative controller[J]. Telecommunications science, 2021, 37(12): 101-109. DOI: 10.11959/j.issn.1000-0801.2021275.
面对业务多样化、数据海量化、云网一体化等新需求新挑战,云网运营的思路和方式都在发生着变革,SDN控制器作为新一代云网运营系统的核心能力,与人工智能技术深度融合,研究意图解析、云网智能感知、保障、优化与自动执行的全流程闭环自治能力关键技术与应用实践,形成SDN控制器的智能内生能力。首先,阐明了SDN控制器智能内生研发的背景与意义;其次,说明了智能内生的能力架构及核心能力分布,逐步形成全流程闭环的云网自治;最后,聚焦5G切片、SRv6新业务新技术的场景用例,进一步解析了在智能感知、自主保障、自动优化等方面的重点技术及应用效果。通过关键能力研发、实施验证及技术标准化, SDN控制器智能内生技术逐步成熟,赋能云网智慧运营。
In the face of new demands and challenges such as business diversification
data quantification and cloud network integration
the ideas and methods of cloud network operation are changing.As the core capability of the new generation of cloud network operation system
SDN controller was deeply integrated with artificial intelligence technology.The key technologies and application practices of full-process closed-loop autonomy capability including intention analysis
cloud network intelligence perception
guarantee
optimization and automatic execution were studied to form intelligent endogenous capability of SDN controller.Firstly
the SDN controller intelligent endogenous development background and significance were clarified.And then
the ability of intelligent endogenous architecture and distribution of core competence were illustrated
which gradually form the whole process of the closed loop cloud network autonomy.Finally
focusing on 5G slice
SRv6 scene of new technology new business use cases
the intelligent perception
independent guarantee
automatic optimization of the key aspects of technology
and the effect of implementation and application were resolved.Through capability architecture design
key capability research and development
implementation verification and layout in standardization
the internal intelligence of SDN controller would gradually mature and enable smart operation of cloud network.
孙建 , 张梅琴 , 张顺颐 , 等 . 一种 IP 网络下基于业务流 QoS监测的故障定位方法:CN102404137A [P ] . 2012 .
SUN J , ZHANG M Q , ZHANG S Y , et al . A fault location me-thod based on service flow QoS monitoring in IP network:CN102404137A [P ] . 2012 .
LOPEZ-MARTIN M , CARRO B , SANCHEZ-ESGUEVILLAS A , . Neural network architecture based on gradient boosting for IoT traffic prediction [J ] . Future Generation Computer Systems , 2019 , 100 : 656 - 673 .
AIBIN M . Traffic prediction based on machine learning for elastic optical networks [J ] . Optical Switching and Networking , 2018 , 30 : 33 - 39 .
张迪 , 黄琛灿 , 肖冬 . 一种流量预测方法和装置:CN107171848B [P ] . 2020 .
ZHANG D , HUANG C C , XIAO D . A flow prediction method and device:CN107171848B [P ] . 2020 .
蒋文栋 . 一种段路由策略的路径选择方法及装置:CN112532518A [P ] . 2021 .
JIANG W D . A path selection method and device of segment routing strategy:CN112532518A [P ] . 2021 .
陈思光 , 窦浩铭 , 王堃 , 等 . 基于负载均衡与 QoE 度量值的SDN网络路径选择方法:CN110290065B [P ] . 2021 .
CHEN S G , DOU H M , WANG K , et al . SDN network path se-lection method based on load balancing and QoE metric values:CN110290065B [P ] . 2021 .
河东晴子 网络路径选择方法以及通信系统:CN101588618 [P ] . 2009 .
HEDONG Q Z . Network path selection method and communi-cation system CN101588618 [P ] . 2009 .
李福亮 , 范广宇 , 王兴伟 , 等 . 基于意图的网络研究综述 [J ] . 软件学报 , 2020 , 31 ( 8 ): 2574 - 2587 .
LI F L , FAN G Y , WANG X W , et al . State-of-the-art survey of intent-based Networking Chinese full text [J ] . Journal of Soft-ware , 2020 , 31 ( 8 ): 2574 - 2587 .
张彤 , 任奕璟 , 闫实 , 等 . 人工智能驱动的6G网络:智慧内生 [J ] . 电信科学 , 2020 , 36 ( 9 ): 14 - 22 .
ZHANG T , REN Y J , YAN S , et al . Artificial intelligence driven 6G networks:endogenous intelligence Chinese Full Text [J ] . Telecommunications Science , 2020 , 36 ( 9 ): 14 - 22 .
索士强 , 王映民 . 未来6G网络内生智能的探讨与分析 [J ] . 移动通信 , 2020 , 44 ( 6 ): 126 - 130 .
SUO S Q , WANG Y M . Discussion and analysis on the native intelligence for the future 6G Network Chinese full text [J ] . Mo-bile Communications , 2020 , 44 ( 6 ): 126 - 130 .
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