Towards Liquid AI in IoT with WebAssembly : A Prototype Implementation
Abstract
An Internet of Things (IoT) system typically comprises numerous subsystems and devices, such as sensors, actuators, gateways for internet connectivity, cloud services, end-user applications, and analytics. Currently, these subsystems are built using a wide range of programming technologies and tools, posing challenges in migrating functionality between them. In our previous work, we have proposed so-called liquid software, where different subsystems are developed using a consistent set of technologies and functions can flow from one computer to another. In this paper, we introduce a prototype implementation of liquid artificial intelligence features, which can be flexibly deployed at the cloud-edge continuum.
Main Authors
Format
Conferences
Conference paper
Published
2023
Series
Subjects
Publication in research information system
Publisher
Springer
The permanent address of the publication
https://urn.fi/URN:NBN:fi:jyu-202402141864Käytä tätä linkitykseen.
Parent publication ISBN
978-3-031-39763-9
Review status
Peer reviewed
ISSN
0302-9743
DOI
https://doi.org/10.1007/978-3-031-39764-6_9
Conference
International Conference on Mobile Web and Intelligent
Language
English
Published in
Lecture Notes in Computer Science
Is part of publication
Mobile Web and Intelligent Information Systems : 19th International Conference, MobiWIS 2023, Marrakech, Morocco, August 14-16, 2023, Proceedings
Citation
- Kotilainen, P., Heikkilä, V., Systä, K., & Mikkonen, T. (2023). Towards Liquid AI in IoT with WebAssembly : A Prototype Implementation. In M. Younas, I. Awan, & T.-M. Grønli (Eds.), Mobile Web and Intelligent Information Systems : 19th International Conference, MobiWIS 2023, Marrakech, Morocco, August 14-16, 2023, Proceedings (pp. 129-141). Springer. Lecture Notes in Computer Science, 13977. https://doi.org/10.1007/978-3-031-39764-6_9
License
Funder(s)
Business Finland
Funding program(s)
Co-Innovation, BF
Co-Innovation, BF
Additional information about funding
This work has been supported by Business Finland (project LiquidAI, 8542/31/2022).
Copyright© 2023 the Authors