摘要
算力网络作为一种面向未来的新型网络架构,其核心思想是围绕算力和网络资源的深度融合,以集中或分布的方式管理云、边、端等多模态的算网资源,提供面向用户需求的算力服务。算力网络虽然在标准制定和产业推进上取得了一定进展,但整体发展还面临很多挑战,还有诸多科学和工程问题需要突破。针对算力网络及算网大脑开展研究,分析了产业界在相关领域的最新进展,提出了对算网大脑智能化的构建思路。
As a future-oriented new network architecture,the core idea of computing and network convergence is to manage cloud-edge-end computing network resources in a centralized or distributed way by centering on the deep in-tegration of computing force and network resources,so as to provide computing service for users’needs.Although the CNC has made some progress in standard setting and industrial promotion,the overall development still faces many challenges,and there are still many scientific and engineering problems to be broken through.Research on CNC and its brain was carried out,the latest progress in related fields in the industry was analyzed,and the idea of building intelligent CNC brain was put forward,hoping to throw a brick at the table,jointly promote the implementation of AI in CNC,and truly realize intelligent CNC.
作者
周俊
刘克清
王世魁
杨玲
ZHOU Jun;LIU Keqing;WANG Shikui;YANG Ling(China Mobile Group Design Institute Co.,Ltd.,Beijing 100080,China)
出处
《电信科学》
2023年第9期54-62,共9页
Telecommunications Science
关键词
算力网络
算网大脑
智能化
决策
computing and network convergence
CNC brain
intelligence
policy making