算力网络研究进展:架构、关键技术与未来挑战  

Research progress for computing force network:architecture,key technologies,and future challenges

作　　者：赵宝康[1] 时维嘉 周寰[1] 孙薛雨 ZHAO Baokang;SHI Weijia;ZHOU Huan;SUN Xueyu(College of Computer Science and Technology,National University of Defense Technology,Changsha 410073,China)

机构地区：[1]国防科技大学计算机学院,长沙410073

出　　处：《上海理工大学学报》2024年第6期600-609,共10页Journal of University of Shanghai For Science and Technology

基　　金：国家自然科学基金联合重点项目(U22B2005,62102434)。

摘　　要：随着数字经济的蓬勃发展,算力已成为推动经济增长的核心动力。算力网络通过整合云、边、端的计算资源,实现资源的高效管理和调度,以支持多样化的数字应用需求。对算力网络进行全面综述,首先介绍了算力网络的概念和重要性,随后分析了其架构设计、算力资源度量和算力网络调度等关键技术。同时,探讨了算力网络在实现过程中遇到的挑战,包括技术融合、安全风险和资源优化等问题。最后,提出了算力网络未来的研究方向,旨在推动算力网络的进一步发展,为构建智能世界提供坚实的技术基础。With the vigorous development of the digital economy,computing power has become the core driving force for economic growth.The computing force network integrates computing resources from the cloud,edge,and end to achieve efficient management and scheduling of resources to support diverse digital application requirements.An overview of the computing force network was provided.Firstly,the concept and importance of computing force network were introduced,and then the key technologies such as architecture design,computing resource measurement and computing network scheduling were analyzed.At the same time,the challenges encountered in the implementation of computing force network were discussed,including technology integration,security risks and resource optimization.Finally,the future research direction of computing force network was proposed,aiming to promote the further development of computing force network and provide a solid technical foundation for building an intelligent world.

关 键 词：算力网络 架构设计 算力资源度量 算力网络调度 安全风险 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]