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Liang, Yu-Cheng, Wu, Kun-Ru, Tong, Kit-Lun, Ren, Yi 
ORCID: https://orcid.org/0000-0001-7423-6719 and Tseng, Yu-Chee
(2023)
An exchange-based AIoT platform for fast AI application development.
In:
Proceedings of the 19th ACM International Symposium on QoS and Security for Wireless and Mobile Networks.
Q2SWinet 2023 - Proceedings of the 19th ACM International Symposium on QoS and Security for Wireless and Mobile Networks
.
Association for Computing Machinery (ACM), pp. 105-114.
ISBN 9798400703683
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Abstract
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.
| Item Type: | Book Section |
|---|---|
| Additional Information: | Funding Information: Y.-C. Tseng’s research is co-sponsored by ITRI and NSTC, Taiwan. This work is also financially supported by “Center for Open Intelligent Connectivity” of “Higher Education Sprout Project” of NYCU and MOE, Taiwan. The research of Yi Ren was supported in part by EPSRC EP/T022566/1, EP/T024593/1, and the Royal Society IEC\R3\213100. |
| Uncontrolled Keywords: | advanced message queuing protocol (amqp),ai models chaining,aiot,application platform,service configuration,service-oriented architecture,software,safety, risk, reliability and quality,electrical and electronic engineering,computer networks and communications,sdg 3 - good health and well-being ,/dk/atira/pure/subjectarea/asjc/1700/1712 |
| Faculty \ School: | Faculty of Science > School of Computing Sciences |
| UEA Research Groups: | Faculty of Science > Research Groups > Data Science and AI |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 13 Nov 2023 18:10 |
| Last Modified: | 10 Dec 2024 01:13 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/93632 |
| DOI: | 10.1145/3616391.3622770 |
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