发表机构
CNR-IEIIT; CNIT（意大利国家研究委员会电子与信息技术研究所; 意大利电信与信息技术研究中心）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
针对5G切片无法满足沉浸式应用多类用户差异化需求的问题，提出应用集成切片框架，统一应用与网络编排，在音乐元宇宙场景中降低资源成本与QoS违规率。
AI 中文摘要
新兴的沉浸式应用预计将支持具有根本不同通信和计算需求的异构用户群体。以音乐元宇宙（MM）作为代表性示例，我们展示了此类应用如何暴露当前5G网络切片和编排框架的局限性，这些框架在很大程度上仍以服务为中心，并通过解耦的应用和网络管理机制运行。虽然现有的服务质量（QoS）和切片技术提供了流量区分，但它们无法在同一服务实例内联合考虑应用语义、共享资源以及跨多个用户类别的差异化端到端需求。为了解决这些局限性，我们引入了应用集成切片，这是一个在统一的端到端服务模型内统一应用和网络编排的框架，并能够在单个逻辑切片内为多个用户类别实现差异化的KPI目标。通过部署在云边网络上的MM参考场景，我们表明与传统解耦方法相比，应用集成切片降低了资源供应成本和QoS违规率。
英文摘要
Emerging immersive applications are expected to support heterogeneous groups of users with fundamentally different communication and computation requirements. Using the Musical Metaverse (MM) as a representative example, we show how such applications expose limitations of current 5G network slicing and orchestration frameworks, which remain largely service-centric and operate through decoupled application and network management mechanisms. While existing Quality of Service (QoS) and slicing techniques provide traffic differentiation, they cannot jointly account for application semantics, shared resources, and differentiated end-to-end requirements across multiple user classes within the same service instance. To address these limitations, we introduce application-integrated slicing, a framework that unifies application and network orchestration within a common end-to-end service model and enables differentiated KPI targets for multiple user classes within a single logical slice. Using a MM reference scenario deployed over cloud-edge network, we show that application-integrated slicing reduces both resource provisioning cost and QoS violation rates compared with conventional decoupled approaches.
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