In the Internet of Things (IoT) ecosystem, sensors and actuators represent the edge that is the source of data. The amount of data being generated by edge devices is exploding. Storage and processing of all the data in the cloud has become too slow and costly to meet the requirements of the end user. Edge computing presents a substantial solution through facilitating the processing of device data closer to the source. However, computing data from various and different sources is a formidable challenge for edge programming. This presents lab experiments for testing versions of a multi-purpose generic edge engine on open-hardware edge devices, specifically the Raspbersry Pi 3 as a test bed with a standard Operating System (OS) and the STMxx as an MCU with Real-Time Operating System (RTOS).
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机译：在物联网（IoT）生态系统中，传感器和执行器代表着作为数据源的边缘。边缘设备生成的数据量呈爆炸式增长。云中所有数据的存储和处理已变得太慢且成本太高，无法满足最终用户的需求。边缘计算通过促进更靠近源的设备数据处理提供了一种实质性的解决方案。然而，对于边缘编程来说，来自各种不同来源的数据计算是一项艰巨的挑战。这提供了用于在开放式硬件边缘设备上测试多功能通用边缘引擎版本的实验室实验，特别是Raspbersry Pi 3作为带有标准操作系统（OS）的测试台，以及STMxx作为具有实时操作功能的MCU的测试台。系统（RTOS）。
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