Supporting AI Engineering on the IoT Edge through Model-Driven TinyML

Armin Moin, Moharram Challenger, Atta Badii, Stephan Gunnemann

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

9 Zitate (Scopus)

Abstract

Software engineering of network-centric Artificial Intelligence (AI) and Internet of Things (IoT) enabled Cyber-Physical Systems (CPS) and services, involves complex design and validation challenges. In this paper, we propose a novel approach, based on the model-driven software engineering paradigm, in particular the domain-specific modeling methodology. We focus on a sub-discipline of AI, namely Machine Learning (ML) and propose the delegation of data analytics and ML to the IoT edge. This way, we may increase the service quality of ML, for example, its availability and performance, regardless of the network conditions, as well as maintaining the privacy, security and sustainability. We let practitioners assign ML tasks to heterogeneous edge devices, including highly resource-constrained embedded microcontrollers with main memories in the order of Kilobytes, and energy consumption in the order of milliwatts. This is known as Tiny ML. Furthermore, we show how software models with different levels of abstraction, namely platform-independent and platform-specific models can be used in the software development process. Finally, we validate the proposed approach using a case study addressing the predictive maintenance of a hydraulics system with various networked sensors and actuators.

OriginalspracheEnglisch
TitelProceedings - 2022 IEEE 46th Annual Computers, Software, and Applications Conference, COMPSAC 2022
Redakteure/-innenHong Va Leong, Sahra Sedigh Sarvestani, Yuuichi Teranishi, Alfredo Cuzzocrea, Hiroki Kashiwazaki, Dave Towey, Ji-Jiang Yang, Hossain Shahriar
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten884-893
Seitenumfang10
ISBN (elektronisch)9781665488105
DOIs
PublikationsstatusVeröffentlicht - 2022
Veranstaltung46th IEEE Annual Computers, Software, and Applications Conference, COMPSAC 2022 - Virtual, Online, USA/Vereinigte Staaten
Dauer: 27 Juni 20221 Juli 2022

Publikationsreihe

NameProceedings - 2022 IEEE 46th Annual Computers, Software, and Applications Conference, COMPSAC 2022

Konferenz

Konferenz46th IEEE Annual Computers, Software, and Applications Conference, COMPSAC 2022
Land/GebietUSA/Vereinigte Staaten
OrtVirtual, Online
Zeitraum27/06/221/07/22

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