SpaceMeta: Global-Scale Massive Multi-User Virtual Interaction over LEO Satellite Constellations

Fuente: arXiv
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Autori principali: Huang, Jiahe, Zhu, Yifei
Natura: Preprint
Pubblicazione: 2024
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author Huang, Jiahe
Zhu, Yifei
author_facet Huang, Jiahe
Zhu, Yifei
contents Low latency and high synchronization among users are critical for emerging multi-user virtual interaction applications. However, the existing ground-based cloud solutions are naturally limited by the complex ground topology and fiber speeds, making it difficult to pace with the requirement of multi-user virtual interaction. The growth of low earth orbit (LEO) satellite constellations becomes a promising alternative to ground solutions. To fully exploit the potential of the LEO satellite, in this paper, we study the satellite server selection problem for global-scale multi-user interaction applications over LEO constellations. We propose an effective server selection framework, called SpaceMeta, that jointly selects the ingress satellite servers and relay servers on the communication path to minimize latency and latency discrepancy among users. Extensive experiments using real-world Starlink topology demonstrate that SpaceMeta reduces the latency by 6.72% and the interquartile range (IQR) of user latency by 39.50% compared with state-of-the-art methods.
format Preprint
id arxiv_https___arxiv_org_abs_2402_09720
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle SpaceMeta: Global-Scale Massive Multi-User Virtual Interaction over LEO Satellite Constellations
Huang, Jiahe
Zhu, Yifei
Multimedia
Networking and Internet Architecture
Low latency and high synchronization among users are critical for emerging multi-user virtual interaction applications. However, the existing ground-based cloud solutions are naturally limited by the complex ground topology and fiber speeds, making it difficult to pace with the requirement of multi-user virtual interaction. The growth of low earth orbit (LEO) satellite constellations becomes a promising alternative to ground solutions. To fully exploit the potential of the LEO satellite, in this paper, we study the satellite server selection problem for global-scale multi-user interaction applications over LEO constellations. We propose an effective server selection framework, called SpaceMeta, that jointly selects the ingress satellite servers and relay servers on the communication path to minimize latency and latency discrepancy among users. Extensive experiments using real-world Starlink topology demonstrate that SpaceMeta reduces the latency by 6.72% and the interquartile range (IQR) of user latency by 39.50% compared with state-of-the-art methods.
title SpaceMeta: Global-Scale Massive Multi-User Virtual Interaction over LEO Satellite Constellations
topic Multimedia
Networking and Internet Architecture
url https://arxiv.org/abs/2402.09720