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意图驱动的自治网络关键技术

Research on Key Technologies for Intent-Driven Autonomous Networks

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【作者】 李继同高泽明田野王文东蒋林涛

【Author】 Li Jitong;Gao Zeming;Tian Ye;Wang Wendong;Jiang Lintao;Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology;China Academy of Information and Communications Technology;

【机构】 北京邮电大学网络与交换技术全国重点实验室中国信息通信研究院

【摘要】 通信网络规模急剧增长,网络的操作和管理仍然依赖于人工方式,且业务网和承载网的分离导致互联网的业务大多呈现OTT形态。由于缺乏有效的渠道,业务与网络难以相互感知,限制了网络对用户需求的响应能力。未来网络应用对服务质量的需求越来越高,业务变化迅速,网络需对这些变化作出快速反应。传统的网络管理方式已不再适用,迫切需要实现自动化业务部署和优化。意图驱动网络旨在精准识别多种用户意图,将用户操作、服务性能和其他需求转化为网络配置,减少人工操作和维护成本,有望成为未来网络自治的潜在解决方案。意图识别、意图转译和意图验证是实现意图驱动网络的关键部分,文章针对如何基于意图驱动网络实现未来网络的自治提出解决方案。

【Abstract】 The scale of communication networks is growing rapidly, the network operation and management still rely on manual methods. The separation of service networks and carrier networks results in most internet services being delivered in an OTT manner. Due to the lack of effective channels, it is difficult for the business and the network to perceive each other, which limits the network’s ability to respond to user needs. Future network applications will increasingly demand high service quality, with rapid business changes requiring the network to quickly adapt to these changes. Traditional network management methods are no longer suitable, and there is an urgent need to achieve automated service deployment and optimization. Intent-driven networking aims to accurately identify various user intents, translating user operations, service performance, and other requirements into network configurations. This reduces the need for manual operations and maintenance costs, and potentially becomes a viable solution for future network autonomy. Intent recognition, intent translation, and intent verification are crucial components in realizing intent-driven networking. This paper proposes solutions for achieving network autonomy based on intent-driven networking.

【基金】 国家自然科学基金资助项目(62072047);北京邮电大学研究生创新创业项目资助(2024-YC-A073)
  • 【文献出处】 信息通信技术 ,Information and Communications Technologies , 编辑部邮箱 ,2024年04期
  • 【分类号】TP393.0
  • 【下载频次】23
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