自智算力网络:架构、技术与展望

Autonomous computing and network convergence:architecture,technologies,and prospects

针对算力网络(CNC,computing and network convergence)中的新型业务场景和网络高度智能化的需求,阐述了自智算力网络(Auto-CNC,autonomous CNC)的技术发展理念,即通过将智能引入算网全生命流程的方式实现资源一体化、流程自动化、系统智能化,简要分析了算力网络的研究现状和现存问题,总结了自智算力网络应具备意图驱动的算网融合、算网闭环自治、网−算−智协同自适演进的关键特征,设计了自智算力网络的参考架构,分析了其关键技术,介绍了相关的初阶探索工作,并对自智算力网络的未来发展进行了展望。

In view of the new service scenarios and the demand for high intelligence network in computing and network convergence(CNC),the concept of autonomous CNC(Auto-CNC)is elaborated,where intelligence was introduced into all the aspects of CNC,including resource integration,process automation,and system intelligence.The current research directions and remaining challenges of CNC were introduced,and three key features,i.e.,intent-driven computing network,the autonomous system operation and the adaptive co-evolution of communication,computing intelligence,were summarized from the proposed Auto-CNC.Meanwhile,the reference architecture and key technologies of Auto-CNC were described,which were followed by several preliminary exploration cases.Finally,future research trends and technical advice were discussed and recommended.