This paper elaborates on a novel AI-native architecture for emerging 6G systems harnessing open APIs, along with supporting mechanisms to empower intelligent and coordinated orchestration of edge-cloud continuum resources. The AIORA architecture facilitates a seamless creation, life-cycle management, and exposure of services in multi-segment heterogeneous environments. It integrates new breeds of tools and advanced technologies to enable zero-touch management of an edge-cloud continuum, building on top of the 3GPP Edge Enablement Layer and the respective connectivity models, allowing to cater to the high flexibility, availability, efficiency, reliability, and resilience needs of the future 6G services and applications. Several ongoing industry initiatives -- such as ETSI MEC for edge computing platforms, the GSMA Operator Platform for multi-operator service federation, and CAMARA for cross-operator API standardization -- demonstrate the growing momentum towards integrated frameworks where edge, cloud, and network resources can be seamlessly orchestrated. Our proposed AIORA architecture not only aligns with these initiatives but also extends them by leveraging a multi-segment virtual continuum concept and nested AI-driven closed loops for real-time optimization.
翻译:本文详细阐述了一种面向新兴6G系统的AI原生架构,该架构利用开放API及配套机制,实现对边缘-云连续体资源的智能协同编排。AIORA架构促进了多段异构环境中服务的无缝创建、生命周期管理与开放。它整合了新型工具与先进技术,基于3GPP边缘赋能层及相应连接模型,实现对边缘-云连续体的零接触管理,从而满足未来6G服务与应用对高灵活性、可用性、效率、可靠性与韧性的需求。当前多项行业倡议——如ETSI MEC(边缘计算平台)、GSMA运营商平台(多运营商服务联盟)以及CAMARA(跨运营商API标准化)——均表明边缘、云与网络资源无缝编排的集成框架正日益受到关注。我们提出的AIORA架构不仅与这些倡议保持一致,更通过引入多段虚拟连续体概念与嵌套式AI驱动闭环以实现实时优化,进一步拓展了其能力边界。