An exchange-based AIoT platform for fast AI application development

Yu-Cheng Liang, Kun-Ru Wu, Kit-Lun Tong, Yi Ren, Yu-Chee Tseng

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AIoT is the combination of Internet of Things (IoT) and Artificial Intelligence (AI) technologies. While IoT emphasizes more on scalable and efficient communications, AI focuses more on reproducing human capabilities such as recognition and forecasting. An efficient AIoT platform may not be obtained directly from integrating existing IoT and AI serving platforms by considering the AIoT service reproduction and evolution. In this work, we propose an AIoT platform that empowers developers to build sophisticated and scalable applications. Our platform is derived based on exchange-based RabbitMQ broker and Advanced Message Queuing Protocol (AMQP) to facilitate the communications among heterogeneous data sources and AI models. By incorporating an AMQP broker, it supports diverse data exchanges, AI models chaining, and flexible message routing and processing. AI models can be deployed efficiently through containerization with flexible and shared data paths to facilitate computations. Hence, developers can focus on service and application requirements. We also present a case study in smart healthcare to validate our design.
Original languageEnglish
Title of host publicationProceedings of the 19th ACM International Symposium on QoS and Security for Wireless and Mobile Networks
Subtitle of host publicationQ2SWinet '23
PublisherAssociation for Computing Machinery (ACM)
Number of pages10
Publication statusPublished - 30 Oct 2023

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