论文标题
kubeedge.ai：边缘设备的AI平台
KubeEdge.AI: AI Platform for Edge Devices
论文作者
论文摘要
在过去的几年中，嵌入式系统中对智能的需求一直在急剧上升。今天的嵌入式系统必须解决云计算和人工智能引入的基本挑战。 Kubeedge [1]是在Kubernetes顶部建立的边缘计算框架[2]。它从云中提供了计算资源管理，部署，运行时和操作功能，这是嵌入式系统的自然拟合。在这里，我们提出了Kubeedge.ai，这是Kubeedge顶部的边缘AI框架。它提供了一组关键模块和接口：数据处理和处理引擎，简洁的AI运行时，决策引擎和分布式数据查询接口。 Kubeedge.ai将有助于减轻开发特定边缘/嵌入式AI系统的负担，并促进边缘云协调和协同作用。
The demand for smartness in embedded systems has been mounting up drastically in the past few years. Embedded system today must address the fundamental challenges introduced by cloud computing and artificial intelligence. KubeEdge [1] is an edge computing framework build on top of Kubernetes [2]. It provides compute resource management, deployment, runtime and operation capabilities on geo-located edge computing resources, from the cloud, which is a natural fit for embedded systems. Here we propose KubeEdge.AI, an edge AI framework on top of KubeEdge. It provides a set of key modules and interfaces: a data handling and processing engine, a concise AI runtime, a decision engine, and a distributed data query interface. KubeEdge.AI will help reduce the burdens for developing specific edge/embedded AI systems and promote edge-cloud coordination and synergy.
