Orchestrating Heterogeneous Devices and AI Services as Virtual Sensors for Secure Cloud-Based IoT Applications

The concept of the cloud-to-thing continuum addresses advancements made possible by the widespread adoption of cloud, edge, and IoT resources. It opens the possibility of combining classical symbolic AI with advanced machine learning approaches in a meaningful way. In this paper, we present a thing...

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Autores principales: Sebastian Alberternst, Alexander Anisimov, Andre Antakli, Benjamin Duppe, Hilko Hoffmann, Michael Meiser, Muhammad Muaz, Daniel Spieldenner, Ingo Zinnikus
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Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/b0663e21bdff4a02ba7b75c924d6c851
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spelling oai:doaj.org-article:b0663e21bdff4a02ba7b75c924d6c8512021-11-25T18:57:01ZOrchestrating Heterogeneous Devices and AI Services as Virtual Sensors for Secure Cloud-Based IoT Applications10.3390/s212275091424-8220https://doaj.org/article/b0663e21bdff4a02ba7b75c924d6c8512021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/22/7509https://doaj.org/toc/1424-8220The concept of the cloud-to-thing continuum addresses advancements made possible by the widespread adoption of cloud, edge, and IoT resources. It opens the possibility of combining classical symbolic AI with advanced machine learning approaches in a meaningful way. In this paper, we present a thing registry and an agent-based orchestration framework, which we combine to support semantic orchestration of IoT use cases across several federated cloud environments. We use the concept of <i>virtual sensors</i> based on machine learning (ML) services as abstraction, mediating between the instance level and the semantic level. We present examples of virtual sensors based on ML models for activity recognition and describe an approach to remedy the problem of missing or scarce training data. We illustrate the approach with a use case from an assisted living scenario.Sebastian AlberternstAlexander AnisimovAndre AntakliBenjamin DuppeHilko HoffmannMichael MeiserMuhammad MuazDaniel SpieldennerIngo ZinnikusMDPI AGarticleartificial intelligencemachine learninginternet of thingscloud technologysemantic webmulti-agent systemsChemical technologyTP1-1185ENSensors, Vol 21, Iss 7509, p 7509 (2021)
institution DOAJ
collection DOAJ
language EN
topic artificial intelligence
machine learning
internet of things
cloud technology
semantic web
multi-agent systems
Chemical technology
TP1-1185
spellingShingle artificial intelligence
machine learning
internet of things
cloud technology
semantic web
multi-agent systems
Chemical technology
TP1-1185
Sebastian Alberternst
Alexander Anisimov
Andre Antakli
Benjamin Duppe
Hilko Hoffmann
Michael Meiser
Muhammad Muaz
Daniel Spieldenner
Ingo Zinnikus
Orchestrating Heterogeneous Devices and AI Services as Virtual Sensors for Secure Cloud-Based IoT Applications
description The concept of the cloud-to-thing continuum addresses advancements made possible by the widespread adoption of cloud, edge, and IoT resources. It opens the possibility of combining classical symbolic AI with advanced machine learning approaches in a meaningful way. In this paper, we present a thing registry and an agent-based orchestration framework, which we combine to support semantic orchestration of IoT use cases across several federated cloud environments. We use the concept of <i>virtual sensors</i> based on machine learning (ML) services as abstraction, mediating between the instance level and the semantic level. We present examples of virtual sensors based on ML models for activity recognition and describe an approach to remedy the problem of missing or scarce training data. We illustrate the approach with a use case from an assisted living scenario.
format article
author Sebastian Alberternst
Alexander Anisimov
Andre Antakli
Benjamin Duppe
Hilko Hoffmann
Michael Meiser
Muhammad Muaz
Daniel Spieldenner
Ingo Zinnikus
author_facet Sebastian Alberternst
Alexander Anisimov
Andre Antakli
Benjamin Duppe
Hilko Hoffmann
Michael Meiser
Muhammad Muaz
Daniel Spieldenner
Ingo Zinnikus
author_sort Sebastian Alberternst
title Orchestrating Heterogeneous Devices and AI Services as Virtual Sensors for Secure Cloud-Based IoT Applications
title_short Orchestrating Heterogeneous Devices and AI Services as Virtual Sensors for Secure Cloud-Based IoT Applications
title_full Orchestrating Heterogeneous Devices and AI Services as Virtual Sensors for Secure Cloud-Based IoT Applications
title_fullStr Orchestrating Heterogeneous Devices and AI Services as Virtual Sensors for Secure Cloud-Based IoT Applications
title_full_unstemmed Orchestrating Heterogeneous Devices and AI Services as Virtual Sensors for Secure Cloud-Based IoT Applications
title_sort orchestrating heterogeneous devices and ai services as virtual sensors for secure cloud-based iot applications
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/b0663e21bdff4a02ba7b75c924d6c851
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