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Enhancing IoT Platforms for Autonomous Device Discovery and Selection

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Service-Oriented Computing (SummerSOC 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1603))

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Abstract

The Internet of Things (IoT) encompasses a variety of technologies that enable the formation of adaptive and flexible networks from heterogeneous devices. Along with the rising number of applications, the amount of devices within IoT ecosystems is constantly increasing. In order to cope with this inherent complexity and to enable efficient administration and orchestration of devices, IoT platforms have emerged in recent years. While many IoT platforms empower users to define application logic for use cases and execute it within an ecosystem, they typically rely on static device references, leading to huge manual maintenance efforts and low robustness. In this paper, we present an approach that allows IoT platforms to autonomously and reliably execute pre-defined use cases by automatically discovering and selecting the most suitable devices. It establishes loose coupling and hence does not impose major technical constraints on the ecosystems in which it is operated.

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Notes

  1. 1.

    For the scope of this paper, we differentiate between a) non-expert users, who want to implement their use cases within IoT ecosystems by leveraging an IoT platform and b) administrators, who are responsible for maintaining the technical setup.

  2. 2.

    MBP on GitHub: https://github.com/IPVS-AS/MBP.

  3. 3.

    DR on GitHub: https://github.com/IPVS-AS/MBP-DiscoveryRepository.

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Authors and Affiliations

  1. Institute for Parallel and Distributed Systems, University of Stuttgart, Universitätsstraße 38, 70569, Stuttgart, Germany

    Jan Schneider & Pascal Hirmer

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  1. Jan Schneider
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Correspondence to Jan Schneider .

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  1. University of Stuttgart, Stuttgart, Germany

    Johanna Barzen

  2. University of Stuttgart, Stuttgart, Germany

    Frank Leymann

  3. TU Wien, Vienna, Austria

    Schahram Dustdar

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Schneider, J., Hirmer, P. (2022). Enhancing IoT Platforms for Autonomous Device Discovery and Selection. In: Barzen, J., Leymann, F., Dustdar, S. (eds) Service-Oriented Computing. SummerSOC 2022. Communications in Computer and Information Science, vol 1603. Springer, Cham. https://doi.org/10.1007/978-3-031-18304-1_2

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  • DOI: https://doi.org/10.1007/978-3-031-18304-1_2

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