CPN:一种计算/网络资源联合优化方案探讨  

CPN:A Joint Optimization Solution of Computing/Network Resources

作　　者：雷波[1] 赵倩颖 Lei Bo;Zhao Qianying(Research institute of China Telecom,Beijing 102209,China)

机构地区：[1]中国电信股份有限公司研究院实验室运营中心,北京102209

出　　处：《数据与计算发展前沿》2020年第4期55-64,共10页Frontiers of Data & Computing

基　　金：国家重点研发计划(2018YFB1800100)。

摘　　要：【目的】伴随5G和人工智能(Artificial Intelligence,AI)技术的飞速发展,各类型的应用不断涌现,不同应用对计算和网络都有着特定要求。为了给用户提供更好的体验,需要为不同应用提供满足需求的计算资源和确定性的网络资源,因此计算资源与网络资源的联合优化成为一个重要的研究领域。【文献范围】文章重点调研了计算资源与网络资源联合优化的解决方案,以及相关案例在现网中的应用等。【方法】本文给出一种计算/网络资源联合优化方案:算力网络(Computing Power Network,CPN),阐述基于CPN的实验验证平台的整体架构,并给出了相关关键技术以及典型应用示例。【结果】CPN将计算资源信息与网络资源信息有机关联在一起,能够针对客户需求提供联合优化方案以及组织相应的资源调度工作。【局限】计算/网络资源联合优化涉及多个领域的研究,CPN作为一种新型解决方案,还面临很多的挑战,需要根据业务需求与商业模式的发展,不断地完善和发展。【结论】算力网络能够有效应对未来业务对计算、存储、网络甚至算法资源的多级部署以及在各级节点之间的灵活调度,获得了相关领域专家的认可,已经在国际电信联盟电信标准分局(International Telecommunication Union Telecommunication Standardization Sector,ITU-T)、中国通信标准化协会(China Communications Standards Association,CCSA)等国际国内标准组织中立项进行标准化研究。[Objective]With the rapid development of 5G and AI,various types of applications appear and have the specific requirements for computing power and network.To provide users with better service experience,it is necessary to provide various applications with sufficient computing and deterministic network resources.Therefore,the joint optimization of computing and network resources is of an important research interest.[Scope of the literature]The article focuses on the joint optimization solution of computing/network resources as well as the related use cases adopted in current network.[Methods]This paper presents a joint optimization solution for computing/network resources allocation,namely computing power network(CPN),and introduces the architecture of the test platform based on the CPN as well as the key technologies and typical instances.[Results]The CPN combines the information of computing and network resources,which enables joint optimization solution and scheduling of relevant resources on the basis of user requirements.[Limitations]The joint optimization solution involves many fields.As a new solution,it faces many challenges and needs to be further improved and developed,according to different service requirements and business modalities.[Conclusions]The CPN can schedule the computing,storage,network and algorithm resources among multi-stage nodes.It has been recognized by experts in related fields and the standardization work has been carried out in international and domestic standard organizations such as ITU-T and CCSA.

关 键 词：计算资源 网络资源 联合优化 算力网络 

分 类 号：TN929.5[电子电信—通信与信息系统] TP18[电子电信—信息与通信工程] TP393.09[自动化与计算机技术—控制理论与控制工程]