Zeqi Lai;Weisen Liu;Qian Wu;Hewu Li;Jingxi Xu;Yibo Wang;Yuanjie Li;Jun Liu
{"title":"SpaceRTC: Unleashing the Low-Latency Potential of Mega-Constellations for Wide-Area Real-Time Communications","authors":"Zeqi Lai;Weisen Liu;Qian Wu;Hewu Li;Jingxi Xu;Yibo Wang;Yuanjie Li;Jun Liu","doi":"10.1109/TMC.2024.3470330","DOIUrl":null,"url":null,"abstract":"User-perceived latency is important for the quality of experience (QoE) of wide-area real-time communications (RTC). With the rapid development of low Earth orbit (LEO) mega-constellations, this paper explores a futuristic yet important problem facing the RTC community: \n<italic>can we exploit emerging mega-constellations to facilitate low-latency RTC globally?</i>\n 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 \n<italic>meandering routes</i>\n in the \n<italic>client-to-cloud</i>\n and \n<italic>inter-cloud-site</i>\n segment of existing cloud-based RTC architecture are critical culprits for the high latency issue suffered by wide-area RTC sessions. Second, we propose \n<sc>SpaceRTC</small>\n, a satellite-cloud cooperative framework that dynamically selects \n<italic>relay servers</i>\n upon satellites and cloud sites to build an overlay network which enables diverse close-to-optimal paths. \n<sc>SpaceRTC</small>\n judiciously allocates RTC flows of different sessions upon the network to facilitate low-latency interactions and adaptively selects bitrates to offer high user-perceived QoE in energy-limited space circumstance. Finally, we implement a testbed based on public constellation information and real-world RTC traces. Extensive experiments demonstrate that \n<sc>SpaceRTC</small>\n can deliver near-optimal interactive latency, with up to 53.3% average latency reduction and 103.6% average bitrate improvement as compared to other state-of-the-art cloud-based solutions.","PeriodicalId":50389,"journal":{"name":"IEEE Transactions on Mobile Computing","volume":"24 2","pages":"642-661"},"PeriodicalIF":7.7000,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Mobile Computing","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10697473/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
User-perceived latency is important for the quality of experience (QoE) of wide-area real-time communications (RTC). With the rapid development of low Earth orbit (LEO) mega-constellations, 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-to-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 dynamically selects
relay servers
upon satellites and cloud sites to build an overlay network which enables diverse close-to-optimal paths.
SpaceRTC
judiciously allocates RTC flows of different sessions upon the network to facilitate low-latency interactions and adaptively selects bitrates to offer high user-perceived QoE in energy-limited space circumstance. Finally, we implement a testbed based on public constellation information and real-world RTC traces. Extensive experiments demonstrate that
SpaceRTC
can deliver near-optimal interactive latency, with up to 53.3% average latency reduction and 103.6% average bitrate improvement as compared to other state-of-the-art cloud-based solutions.
期刊介绍:
IEEE Transactions on Mobile Computing addresses key technical issues related to various aspects of mobile computing. This includes (a) architectures, (b) support services, (c) algorithm/protocol design and analysis, (d) mobile environments, (e) mobile communication systems, (f) applications, and (g) emerging technologies. Topics of interest span a wide range, covering aspects like mobile networks and hosts, mobility management, multimedia, operating system support, power management, online and mobile environments, security, scalability, reliability, and emerging technologies such as wearable computers, body area networks, and wireless sensor networks. The journal serves as a comprehensive platform for advancements in mobile computing research.