Green and Economical Interaction in Metaverse: Challenges, Architecture, and Future Directions

被引:0
|
作者
Zhao, Yaru [1 ]
Huang, Yakun [1 ]
Lu, Ping [2 ]
Shi, Wenzhe [2 ]
Ma, Baojun [3 ]
Su, Xiang [4 ]
Qiao, Xiuquan [1 ]
机构
[1] Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China
[2] State Key Lab Mobile Network & Mobile Multimedia T, Shenzhen 518055, Peoples R China
[3] China Unicom Online Informat Technol Co Ltd, Beijing 100031, Peoples R China
[4] Norwegian Univ Sci & Technol, Dept Comp Sci, N-2815 Gjovik, Norway
来源
IEEE NETWORK | 2024年 / 38卷 / 06期
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Metaverse; Computer architecture; Visualization; Rendering (computer graphics); Cloud computing; Surveys; Collaboration;
D O I
10.1109/MNET.2024.3432787
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
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 inter-actions. 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.
引用
收藏
页码:300 / 308
页数:9
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