A4 Article in conference proceedings
LiquidAI : Towards an Isomorphic AI/ML System Architecture for the Cloud-Edge Continuum (2023)

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

JYU authors or editors

Publication details

All authors or editors: Systä, Kari; Pautasso, Cesare; Taivalsaari, Antero; Mikkonen, Tommi

Parent publication: Web Engineering : 23rd International Conference, ICWE 2023, Alicante, Spain, June 6–9, 2023, Proceedings

Parent publication editors: Garrigós, Irene; Murillo Rodríguez, Juan Manuel; Wimmer, Manuel

Place and date of conference: Alicante, Spain, 6.-9.6.2023

ISBN: 978-3-031-34443-5

eISBN: 978-3-031-34444-2

Journal or series: Lecture Notes in Computer Science

ISSN: 0302-9743

eISSN: 1611-3349

Publication year: 2023

Number in series: 13893

Pages range: 67-74

Number of pages in the book: 426

Publisher: Springer Nature Switzerland

Place of Publication: Cham

Publication country: Switzerland

Publication language: English

DOI: https://doi.org/10.1007/978-3-031-34444-2_5

Publication open access: Not open

Publication channel open access: 

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/92750

Abstract

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.

Keywords: software architecture; Internet of things; artificial intelligence; machine learning

Free keywords: isomorphic software; software architecture; Internet of Things; IoT; Web of Things; WoT; artificial intelligence; AI; machine learning; ML; software deployment; deployment in the large; programmable world

Contributing organizations

Related projects

Ministry reporting: Yes

VIRTA submission year: 2023

JUFO rating: 1