FRED: A Hosted Data Flow Platform for the IoT

Michael Blackstock, R. Lea
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引用次数: 21

Abstract

IoT developers need to integrate a variety of protocols, backend components and services; they often need to pre and post-process data as well as react to changes in the real world. Data flow programming tools have been introduced in a number of related domains to provide a flexible, but easy to use visual programming environment for rapid development. The open source Node-RED system provides such a tool for IoT applications, but is limited to executing a single flow file in a single thread. In this paper we describe the design of our system called the Front-End for Node-RED (FRED) that manages multiple instances of Node-RED for logged in users, allowing Node-RED to be used as a cloud-hosted data flow mashup tool for the IoT. We present some examples of how some of our 1800+ users are using FRED for IoT mashups, and some of the challenged we faced in implementing the FRED system.
FRED:物联网托管数据流平台
物联网开发人员需要集成各种协议、后端组件和服务;它们通常需要对数据进行预处理和后处理,并对现实世界中的变化做出反应。数据流编程工具已经在许多相关领域中引入,以提供灵活但易于使用的可视化编程环境,以实现快速开发。开源的Node-RED系统为物联网应用程序提供了这样一个工具,但仅限于在单个线程中执行单个流文件。在本文中,我们描述了我们称为Node-RED前端(FRED)的系统设计,该系统为登录用户管理Node-RED的多个实例,允许Node-RED用作物联网的云托管数据流混搭工具。我们提供了一些示例,说明我们的1800多个用户如何将FRED用于IoT mashup,以及我们在实现FRED系统时面临的一些挑战。
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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