Satellite Computing: A Case Study of Cloud-Native Satellites

Chao Wang, Yiran Zhang, Qing Li, Ao Zhou, Shangguang Wang
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引用次数: 2

Abstract

The on-orbit processing of massive satellite-native data relies on powerful computing power. Satellite computing has started to gain attention, with researchers proposing various algorithms, applications, and simulation testbeds. Unfortunately, a practical platform for deploying satellite computing is currently lacking. As a result, the industry needs to make relentless efforts to achieve this goal. We suggest using cloud-native technology to enhance the computing power of LEO satellites. The first main satellite of the Tiansuan constellation, BUPT-1, is a significant example of a cloud-native satellite. Prior to delving into the details of BUPT-1, we define the essential concepts of cloud-native satellites, i.e., the cloud-native load and cloud-native platform. Afterwards, we present the design scheme of cloud-native satellites, including the architecture of BUPT-1 and the experimental subjects it can support. Two validation tests are shown to reflect the operation and capability of BUPT-1. Besides, we predict possible research fields that could shape the future of satellites in the next decade.
卫星计算:云原生卫星的案例研究
海量星源数据的在轨处理依赖于强大的计算能力。随着研究人员提出各种算法、应用和模拟试验台,卫星计算开始受到关注。不幸的是,目前缺乏部署卫星计算的实用平台。因此,该行业需要做出不懈的努力来实现这一目标。建议采用云原生技术增强近地轨道卫星的计算能力。天王星星座的第一颗主要卫星BUPT-1是云原生卫星的一个重要例子。在深入研究BUPT-1的细节之前,我们定义了云原生卫星的基本概念,即云原生负载和云原生平台。然后,我们提出了云原生卫星的设计方案,包括BUPT-1的结构和它所能支持的实验对象。两次验证试验反映了BUPT-1的运行和能力。此外,我们还预测了未来十年可能影响卫星未来的研究领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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