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Towards Liquid AI in IoT with WebAssembly: A Prototype Implementation

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Mobile Web and Intelligent Information Systems (MobiWIS 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13977))

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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.

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Acknowledgments

This work has been supported by Business Finland (project LiquidAI, 8542/31/2022).

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Authors and Affiliations

  1. Faculty of Information Technology, University of Jyväskylä, Jyväskylä, Finland

    Pyry Kotilainen & Tommi Mikkonen

  2. Faculty of Information Technology and Communication Sciences, Tampere University, Tampere, Finland

    Ville Heikkilä & Kari Systä

Authors
  1. Pyry Kotilainen
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  2. Ville Heikkilä
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  3. Kari Systä
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  4. Tommi Mikkonen
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Corresponding author

Correspondence to Pyry Kotilainen .

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Editors and Affiliations

  1. Oxford Brookes University, Oxford, UK

    Muhammad Younas

  2. University of Bradford, Bradford, UK

    Irfan Awan

  3. Kristiania University College, Oslo, Norway

    Tor-Morten Grønli

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Kotilainen, P., Heikkilä, V., Systä, K., Mikkonen, T. (2023). Towards Liquid AI in IoT with WebAssembly: A Prototype Implementation. In: Younas, M., Awan, I., Grønli, TM. (eds) Mobile Web and Intelligent Information Systems. MobiWIS 2023. Lecture Notes in Computer Science, vol 13977. Springer, Cham. https://doi.org/10.1007/978-3-031-39764-6_9

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  • DOI: https://doi.org/10.1007/978-3-031-39764-6_9

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