FRED : a hosted data flow platform for the IoT

Giang, Nam and Lea, Rodger James and Blackstock, Michael (2016) FRED : a hosted data flow platform for the IoT. In: MOTA '16 : Proceedings of the 1st International Workshop on Mashups of Things and APIs. ACM, New York. ISBN 9781450346696

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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.

Item Type:
Contribution in Book/Report/Proceedings
Additional Information:
Preprint: full publication in Michael Blackstock and Rodger Lea. 2016. FRED: A Hosted Data Flow Platform for the IoT. In Proceedings of the 1st International Workshop on Mashups of Things and APIs (MOTA '16). ACM, New York, NY, USA, Article 2, 5 pages. DOI: https://doi.org/10.1145/3007203.3007214
ID Code:
126367
Deposited By:
Deposited On:
10 Jul 2018 14:14
Refereed?:
Yes
Published?:
Published
Last Modified:
10 Jan 2024 00:44