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算力网络研究进展综述 被引量:27

Survey on research progress for compute first networking
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摘要 随着新型网络业务和应用的不断发展与成熟,云计算、边缘计算、智能终端设备得到了快速发展,计算资源呈现出泛在部署的趋势,如何高效协同地利用这些泛在计算资源成为当前网络领域研究的一项重要新课题。在此背景下,算力网络(CFN,compute first networking)的概念被提出,并引起了广泛的关注,其基本思想是将算力和网络深度融合,协同分布式的计算资源,提升计算资源的利用率,同时改善用户的网络服务体验。首先分析了算力网络的提出背景和研究现状,然后介绍算力网络的基本架构、工作流程,以及算力网络的关键技术,最后对算力网络发展方向以及面临挑战进行分析。 With the development of 5G and mobile Internet technology,cloud computing,edge computing and intelligent terminal devices have been developed rapidly.Computing resources indicate a trend of ubiquitous deployment.How to use ubiquitous computing resources efficiently and collaboratively has become a hot topic at present in network field.In this context,the concept of compute first networking(CFN)has been proposed and attracted wide attention.Its basic idea is to enhance utilization of computing resources and improve user experience of network services,by converging computing and network deeply as well as coordinating distributed computing resources.Firstly the background and research status of CFN were analyzed,and then basic structure,workflow,and key technologies about CFN were explicated.Finally,future research directions and challenges about CFN were summarized.
作者 贾庆民 丁瑞 刘辉 张晨 谢人超 JIA Qingmin;DING Rui;LIU Hui;ZHANG Chen;XIE Renchao(Purple Mountain Laboratories,Nanjing 211111,China;Guangdong Province New Generation Communication and Network Innovation Research Institute,Guangzhou 510000,China;State Key Laboratory of Networking and Switching Technology,Beijing University of Posts and Telecommunications,Beijing 100876,China)
出处 《网络与信息安全学报》 2021年第5期1-12,共12页 Chinese Journal of Network and Information Security
基金 国家重点研发计划(2019YFB1804403)。
关键词 边缘计算 网络计算融合 算力网络 协同 edge computing convergence of computing and network compute first networking coordination
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