SpaceMeta：基于低轨卫星星座的全球规模海量多用户虚拟交互
SpaceMeta: Global-Scale Massive Multi-User Virtual Interaction over LEO Satellite Constellations
AI总结：
针对多用户虚拟交互受地面网络拓扑和光纤速度限制的问题，提出基于低轨卫星星座的服务器选择框架SpaceMeta，联合选择入口和中继卫星服务器以最小化延迟及延迟差异，实验证明其显著降低了延迟和延迟四分位距。
摘要：
低延迟和用户间的高同步性对于新兴的多用户虚拟交互应用至关重要。然而，现有的基于地面的云解决方案天然受到复杂地面拓扑和光纤速度的限制，难以跟上多用户虚拟交互的需求。低地球轨道（LEO）卫星星座的发展成为地面解决方案的一种极具前景的替代方案。为了充分发挥LEO卫星的潜力，本文研究了基于LEO星座的全球规模多用户交互应用的卫星服务器选择问题。我们提出了一种有效的服务器选择框架，称为SpaceMeta，该框架联合选择通信路径上的入口卫星服务器和中继服务器，以最小化用户间的延迟和延迟差异。使用真实世界Starlink拓扑进行的大量实验表明，与最先进的方法相比，SpaceMeta将延迟降低了6.72%，将用户延迟的四分位距（IQR）降低了39.50%。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
