From Things into Clouds – and back

Alberternst, Sebastian; Anisimov, Alexander; Antakli, André; Duppe, Benjamin; Hoffmann, Hilko; Meiser, Michael; Muaz, Muhammad; Spieldenner, Daniel; Zinnikus, Ingo

doi:10.1109/ccgrid51090.2021.00080

Cited by 5 publications

(1 citation statement)

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“…Devices and services use a multitude of different protocols and payload formats. To interconnect services and devices and enable interoperability, we use building blocks from the W3C Web of Thing (WoT) architecture (https://www.w3.org/TR/wot-architecture/ (accessed on 25 October 2021)) as well as from SENSE-WoT (For details about WoT and SENSE-WoT, in particular, we refer to [4]). The key component of the WoT architecture is the Thing Description (TD), as seen in Figure 1.…”

Section: Gathering Resources In the Thing Registrymentioning

confidence: 99%

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

Alberternst

Anisimov

Antakli

et al. 2021

Sensors

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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.

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Section: Gathering Resources In the Thing Registrymentioning

confidence: 99%