Dubbed as the next-generation Internet, the metaverse is a virtual world that
allows users to interact with each other or objects in real-time using their
avatars. The metaverse is envisioned to support novel ecosystems of service
provision in an immersive environment brought about by an intersection of the
virtual and physical worlds. The native AI systems in metaverse will
personalized user experience over time and shape the experience in a scalable,
seamless, and synchronous way. However, the metaverse is characterized by
diverse resource types amid a highly dynamic demand environment. In this paper,
we propose the case study of virtual education in the metaverse and address the
unified resource allocation problem amid stochastic user demand. We propose a
stochastic optimal resource allocation scheme (SORAS) based on stochastic
integer programming with the objective of minimizing the cost of the virtual
service provider. The simulation results show that SORAS can minimize the cost
of the virtual service provider while accounting for the users' demands
uncertainty.

本篇论文介绍了如何在元宇宙中进行虚拟教育，并针对不断变化的用户需求问题提出了基于随机整数规划的最优资源分配方案（SORAS），以最小化虚拟服务提供商的成本，并考虑用户需求的不确定性。实验结果表明，SORAS 可以有效最小化成本。