2021年中国 KubeCon + CloudNativeCon + Open Source Summit - 线上峰会

当今已处于星际航海时代，卫星制造的通用化，智能化，软件化趋势逐渐加快，卫星互联网已经成为全球热点。本次演讲将会介绍卫星计算的现状以及遇到的问题，并在此基础上介绍如何通过KubeEdge的云原生边缘计算能力将卫星作为边缘节点进行管理，并将AI工作负载延伸至太空中，通过边缘协同的AI赋能空间探索，并进行高精度地面科研工作，例如农田面积统计等。

在此演讲中，观众可以了解卫星计算的现状，特点和技术挑战。为什么KubeEdge作为云原生的边缘计算项目适用于对卫星的管理中。以及是如何通过KubeEdge Sedna来进行边缘协同的AI运算，满足在卫星上在对设备功率有极高要求的条件下进行实时计算的要求。

Nowadays, in the age of interstellar navigation, the trend of generalization, intelligence and software of satellite manufacturing is accelerating gradually, and the satellite Internet has become a hot spot in the world. In this talk, Qi and Shangguang will introduce the current state of satellite computing and the problems encountered. They will then introduce how to manage satellites as edge nodes and extend AI workloads into space with KubeEdge's cloud-native edge computing capabilities. More specifically how AI-enabled edge collaboration enables space exploration and high-precision ground-based scientific research, such as farmland area statistics.

In this talk, the audience will learn about the current state, characteristics, and technical challenges of satellite computing. The question “Why is KubeEdge suitable for satellite management as a cloud-native edge computing project?” will also be answered. We will also cover how to use KubeEdge Sedna to perform edge-coordinated AI computing, meeting the requirements for real-time computing on satellites in conditions that have high requirements on device power.