摘要
云计算不仅是一种商业模式,更加是软硬件技术集大成者,通过基础设施软硬件服务整合、资源高度集约,以更加灵活、可扩展的方式支持数字化业务的变革和创新。基于云计算市场趋势和业务需求的迭代更新,提出了下一代云计算基础设施架构,包括分布式的云网资源、通智融合的软硬件基础设施及异构管理及协同调度平台,并通过介绍各组件功能范围和关键要素,引出下一代云计算高效能、广分布和超大规模等特性。由于云计算新型基础设施层是下一代云计算技术创新的热点,从算力、运力和存力3方面分别介绍了云基础设施软硬件资源的关键技术,并分析了平台层的资源纳管和协同调度技术,最后对下一代云计算基础设施相关技术进行了展望。
Cloud computing is not only a business mode,but also an integration of hardware and software technologies.Through the integration of software and hardware services at the infrastructure layer and highly intensive resources,the reform and innovation of digital businesses are supported in a more flexible and scalable way.Driven by the market trends and business requirements,the next-generation cloud computing infrastructure architecture is proposed,including distributed cloud network resources,AI-integrated software and hardware infrastructure,as well as cloud resource heterogeneous management and collaborative scheduling platforms.Through introducing the functional scope and key elements of various components,the characteristics of the next-generation cloud computing,such as high efficiency,wide distribution,ultra-large scale,are clarified.As the new infrastructure layer of cloud computing is the hot innovation topic of nextgeneration cloud computing technology,this paper introduces the key technologies of cloud infrastructure which is integrated by software and hardware resources from three aspects:computing,network,and storage.It also analyzes the resource management and collaborative scheduling technologies at the platform layer,and puts forward prospects for the related technologies of the next-generation cloud computing infrastructure.
作者
陆钢
孙梦宇
任慧蕾
黄志兰
LU Gang;SUN Mengyu;REN Huilei;HUANG Zhilan(China Telecom Corporation Research Institute,Guangdong Guangzhou 510630,China;China Telecom Corporation Research Institute,Beijing 102209,China)
出处
《通信技术》
2024年第1期26-32,共7页
Communications Technology
关键词
下一代云计算
云基础设施
第五代精简指令集
异构资源
智能协同调度
next-generation cloud computing
cloud infrastructure
reduced instruction set computer-V(RISC-V)
heterogeneous resource
intelligent collaborative scheduling