论文标题
统一，用户和任务（UUT）以元式边缘计算为中心的人工智能
Unified, User and Task (UUT) Centered Artificial Intelligence for Metaverse Edge Computing
论文作者
论文摘要
可以将元视角视为当今网络的扩展，该网络集成了物理和虚拟世界，提供了超现实的用户体验。元元的成立带来了许多生态系统服务，例如内容创建，社交娱乐，世界内价值转移，智能交通，医疗保健。这些服务是计算密集型的，需要计算卸载到荟萃的边缘计算服务器（MEC）上。现有的元元边缘计算方法无法有效地处理资源分配，以确保元式生态系统服务所需的流体，无缝和超现实的元体验。因此，我们引入了一种新的元兼容，统一，用户和任务（UUT）以人工智能（AI）为中心的移动边缘计算（MEC）范式，该范式可以作为一个概念，可以在其上构建未来的AI控制算法，以开发更具用户和任务为中心的MEC。
The Metaverse can be considered the extension of the present-day web, which integrates the physical and virtual worlds, delivering hyper-realistic user experiences. The inception of the Metaverse brings forth many ecosystem services such as content creation, social entertainment, in-world value transfer, intelligent traffic, healthcare. These services are compute-intensive and require computation offloading onto a Metaverse edge computing server (MECS). Existing Metaverse edge computing approaches do not efficiently and effectively handle resource allocation to ensure a fluid, seamless and hyper-realistic Metaverse experience required for Metaverse ecosystem services. Therefore, we introduce a new Metaverse-compatible, Unified, User and Task (UUT) centered artificial intelligence (AI)- based mobile edge computing (MEC) paradigm, which serves as a concept upon which future AI control algorithms could be built to develop a more user and task-focused MEC.
