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.

翻译：低延迟与用户间高同步性是新兴多用户虚拟交互应用的关键需求。然而，现有地面云解决方案受限于复杂的地面拓扑结构和光纤传输速度，难以满足多用户虚拟交互的要求。低轨卫星星座的快速发展为地面解决方案提供了有前景的替代方案。为充分挖掘低轨卫星的潜力，本文研究了面向低轨卫星星座上全球规模多用户交互应用的卫星服务器选择问题。我们提出了一种名为SpaceMeta的高效服务器选择框架，该框架联合选择通信路径上的入站卫星服务器和中继服务器，以最小化用户间的延迟及延迟差异。基于真实星链拓扑的大量实验表明，与最先进方法相比，SpaceMeta将延迟降低了6.72%，用户延迟的四分位距降低了39.50%。