The Metaverse is a virtual environment where users are represented by avatars
to navigate a virtual world, which has strong links with the physical one.
State-of-the-art Metaverse architectures rely on a cloud-based approach for
avatar physics emulation and graphics rendering computation. Such centralized
design is unfavorable as it suffers from several drawbacks caused by the long
latency required for cloud access, such as low quality visualization. To solve
this issue, in this paper, we propose a Fog-Edge hybrid computing architecture
for Metaverse applications that leverage an edge-enabled distributed computing
paradigm, which makes use of edge devices computing power to fulfil the
required computational cost for heavy tasks such as collision detection in
virtual universe and computation of 3D physics in virtual simulation. The
computational cost related to an entity in the Metaverse such as collision
detection or physics emulation are performed at the end-device of the
associated physical entity. To prove the effectiveness of the proposed
architecture, we simulate a distributed social metaverse application.
Simulation results shows that the proposed architecture can reduce the latency
by 50% when compared with the legacy cloud-based Metaverse applications.

本研究提出了一种雾边混合计算架构，利用边缘设备计算能力来执行与 Metaverse 实体相关的计算成本，以减少 Metaverse 应用程序基于云的计算模式的延迟，并证明了实验结果可以将延迟降低 50％。