Distributed realtime rendering in decentralized network for mobile web augmented reality

被引:0
|
作者
Zhang, Huabing [1 ,2 ]
Li, Liang [1 ,2 ]
Lu, Qiong [2 ]
Yue, Yi [3 ,4 ]
Huang, Yakun [5 ]
Dustdar, Schahram [6 ]
机构
[1] Key Lab Film & TV Media Technol Zhejiang Prov, Hangzhou 310018, Zhejiang, Peoples R China
[2] Commun Univ Zhejiang, Sch Media Engn, Hangzhou 310018, Zhejiang, Peoples R China
[3] China Unicom, Res Inst, Beijing, Peoples R China
[4] Natl Engn Res Ctr Next Generat Internet Broadband, Beijing, Peoples R China
[5] Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China
[6] Tech Univ Wien, Distributed Syst Grp, A-1040 Vienna, Austria
基金
中国国家自然科学基金;
关键词
Mobile web-based augment reality; Real-time rendering computing; Decentralized network; Distributed collaborative computing; Mobile computing; Device-to-Device; FRAMEWORK; ALGORITHM; CONSENSUS;
D O I
10.1016/j.future.2024.04.050
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Low-latency, real-time rendering of 3D objects is critical for mobile web-based augmented reality (MWAR) applications. While cloud-based or edge-based server rendering offloading can reduce the latency for mobile devices, a high volume of user requests in user aggregation scenarios can overload servers and transmission channels. It can result in a poor user experience due to resource consumption and high latency. This paper presents a decentralized and collaborative real-time rendering offloading network architecture (CRCDnet) to address this issue. CRCDnet makes contributions in the following three areas: (1) In the user aggregation scenarios, mobile devices that perform the same services are used as service nodes to perform the offloading of rendering computing and a collaborative rendering computing network is established. (2) For data exchange in decentralized networks, a data sharing middle layer based on blockchain key indexes separates sensitive service data and ensures a secure, reliable exchange mechanism and efficient data exchange. (3) A data request and computing offloading scheduling approach is proposed for the collaborative rendering computing network to optimize the rendering computation delay.
引用
收藏
页码:530 / 544
页数:15
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