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

Sensors

Sebastian Alberternst¹  Daniel Spieldenner¹  Andre Antakli¹  Alexander Anisimov¹  Benjamin Duppe¹  Hilko Hoffmann¹  Michael Meiser¹  Ingo Zinnikus¹  Muhammad Muaz¹ 

[1] German Research Center for Artificial Intelligence, Saarland Informatics Campus, Stuhlsatzenhausweg 3, 66123 Saarbruecken, Germany;

关键词: artificial intelligence;    machine learning;    internet of things;    cloud technology;    semantic web;    multi-agent systems;   

DOI  :  10.3390/s21227509

来源: DOAJ

【 摘 要 】

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 virtual sensors 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.

【 授权许可】

Unknown