LiquidAI : Towards an Isomorphic AI/ML System Architecture for the Cloud-Edge Continuum
Systä, K., Pautasso, C., Taivalsaari, A., & Mikkonen, T. (2023). LiquidAI : Towards an Isomorphic AI/ML System Architecture for the Cloud-Edge Continuum. In I. Garrigós, J. M. Murillo Rodríguez, & M. Wimmer (Eds.), Web Engineering : 23rd International Conference, ICWE 2023, Alicante, Spain, June 6–9, 2023, Proceedings (pp. 67-74). Springer Nature Switzerland. Lecture Notes in Computer Science, 13893. https://doi.org/10.1007/978-3-031-34444-2_5
Julkaistu sarjassa
Lecture Notes in Computer SciencePäivämäärä
2023Tekijänoikeudet
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
A typical Internet of Things (IoT) system consists of a large number of different subsystems and devices, including sensors and actuators, gateways that connect them to the Internet, cloud services, end-user applications and analytics. Today, these subsystems are implemented with a broad variety of programming technologies and tools, making it difficult to migrate functionality from one subsystem to another. In our earlier papers, we have predicted the rise of isomorphic IoT system architectures in which all the subsystems can be developed with a consistent set of technologies. In this paper we expand the same research theme to machine learning technologies, highlighting the need to use ML in a consistent and uniform fashion across the entire Cloud-Edge continuum.
Julkaisija
Springer Nature SwitzerlandEmojulkaisun ISBN
978-3-031-34443-5Konferenssi
International Conference on Web EngineeringKuuluu julkaisuun
Web Engineering : 23rd International Conference, ICWE 2023, Alicante, Spain, June 6–9, 2023, ProceedingsISSN Hae Julkaisufoorumista
0302-9743Asiasanat
Julkaisu tutkimustietojärjestelmässä
https://converis.jyu.fi/converis/portal/detail/Publication/183672357
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This work has been supported by Business Finland (project LiquidAI, 8542/31/2022).Lisenssi
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