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作 者:王海宁[1] 贾鹏 曹宇诗 杨馥聪 裴天天 曾宇[1] Wang Haining;Jia Peng;Cao Yushi;Yang Fucong;Pei Tiantian;Zeng Yu(Network AI Research Center,Research Institute of Emerging Information Technology,Institute of Strategic and Innovative Research of China Telecom Co.,Ltd.,Beijing 102209,China)
机构地区:[1]中国电信股份有限公司战略与创新研究院新兴信息技术研究所网络AI研究中心
出 处:《电子技术应用》2019年第10期5-10,共6页Application of Electronic Technique
摘 要:随着5G时代的到来,多种应用场景和差异化的业务需求不断涌现,对运营商网络资源和业务需求调度分配的能力提出更高的要求。通过对5G网络新特征的分析,提出一种基于意图的网络管理调度系统,结合IBN的网络架构将多种形式的业务意愿收集并翻译成所需的网络操作和配置,实现网络的快速自动部署实施。基于该系统提出了一个快速调度算法,对任务进行有效的多级调度和同级调度,仿真实验表明,基于意图网络的快速调度系统使得任务处理效率提高,任务调度处理时间减少,对于发生重大事件等通信场景的业务需求调度保障有重要意义。With the advent of 5G era, a variety of application scenarios and differentiated service requirements are emerging, which puts forward higher requirements for the ability of operators to schedule network resources and service requirements. Based on the analysis of the new features of 5G network, this paper proposes an intent-based network(IBN) management scheduling system. Combined with the network architecture of IBN, various forms of service intentions are collected and translated into the required network operation and configuration, so as to realize the rapid and automatic deployment of the network. A fast scheduling algorithm is proposed based on this system to effectively schedule tasks at multiple levels and peer levels. The simulation experiments show that the fast scheduling system based on IBN improves the task processing efficiency and reduces the task scheduling processing time, which is of great significance to the service requirement scheduling guarantee of communication scenarios such as major events.
分 类 号:TN919[电子电信—通信与信息系统]
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