This article presents an overview of existing surveys and reviews focusing on general and communication architectures (e.g., cloud- and P2P-based) within the metaverse. We propose GEIM, a green and economical multi-user interaction framework, to address inefficiencies in communication and computation, and to facilitate self-orchestrating and collaborative interactions. GEIM employs a flexible and intelligent communication and computation orchestration algorithm, along with caching strategy, to harmonize resources from remote cloud, edge cloud, and device layers for collaborative interactions. We deployed a GEIM prototype in real-world scenarios, demonstrating its capability to dynamically orchestrate interactive devices and computational resources, resulting in significant reductions in communication, computation, and memory overheads. Experimental results show that when GEIM collaborates with two edge nodes, it achieves a 17% reduction in GPU load, a 20% decrease in memory usage, and a minor 4% drop in frame rate compared to a single edge node setup. Last, we outline future research directions and conclude the research implications.

中文翻译：

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元宇宙中的绿色经济交互：挑战、架构和未来方向


本文概述了现有的调查和评论，重点关注元宇宙中的通用和通信架构（例如，基于云和 P2P）。我们提出GEIM，一种绿色、经济的多用户交互框架，以解决通信和计算效率低下的问题，并促进自编排和协作交互。 GEIM采用灵活、智能的通信和计算编排算法以及缓存策略来协调远程云、边缘云和设备层的资源以进行协作交互。我们在现实场景中部署了 GEIM 原型，展示了其动态编排交互设备和计算资源的能力，从而显着减少了通信、计算和内存开销。实验结果表明，当 GEIM 与两个边缘节点协作时，与单个边缘节点设置相比，GPU 负载降低了 17%，内存使用量降低了 20%，帧速率小幅下降了 4%。最后，我们概述了未来的研究方向并总结了研究意义。