SPACERTC: Unleashing the Low-latency Potential of Mega-constellations for Real-Time Communications

被引:32
作者
Lai, Zeqi [1 ]
Liu, Weisen [1 ]
Wu, Qian [1 ]
Li, Hewu [1 ]
Xu, Jingxi [2 ]
Wu, Jianping [1 ]
机构
[1] Tsinghua Univ, Inst Network Sci & Cyberspace, BNRist, Beijing 100084, Peoples R China
[2] Tencent, WeMeet Fundamental Tech R&D Ctr, Shenzhen, Peoples R China
来源
IEEE CONFERENCE ON COMPUTER COMMUNICATIONS (IEEE INFOCOM 2022) | 2022年
基金
中国国家自然科学基金;
关键词
D O I
10.1109/INFOCOM48880.2022.9796887
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
User-perceived latency is important for the quality of experience (QoE) of wide-area real-time communications (RTC). This paper explores a futuristic yet important problem facing the RTC community: can we exploit emerging mega-constellations to facilitate low-latency RTC globally? We carry out our quest in three steps. First, through a measurement study associated with a large number of geo-distributed RTC users, we quantitatively expose that the meandering routes in the client-cloud and inter-cloud-site segment of existing cloud-based RTC architecture are critical culprits for the high latency issue suffered by wide-area RTC sessions. Second, we propose SPACERTC, a satellite-cloud cooperative framework that adaptively selects relay servers upon satellites and cloud sites to build an overlay network which enables diverse close-to-optimal paths, and then judiciously allocates RTC flows upon the network to facilitate low-latency interactions. Finally, we implement our SPACERTC prototype on an experimental environment based on public constellation information and RTC trace, and extensive experiments demonstrate that SPACERTC can deliver near-optimal interactive latency, with up to 64.9% latency reduction as compared to other state-of-the-art cloud-based solutions under representative videoconferencing traffic.
引用
收藏
页码:1339 / 1348
页数:10
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