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Self-managing Internet of Things

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SOFSEM 2018: Theory and Practice of Computer Science (SOFSEM 2018)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10706))

Abstract

Internet of Things (IoT) are in full expansion. Applications range from factory floors to smart city environments. IoT applications consist of battery powered small computing devices (motes) that communicate wirelessly and interact with the environment through sensors and actuators. A key challenge that IoT engineers face is how to manage such systems that are subject to inherent uncertainties in their operation contexts, such as interferences and dynamic traffic in the network. Often these uncertainties are difficult to predict at development time. In practice, IoT applications are therefore typically over-provisioned at deployment; however, this leads to inefficiency. In this paper, we make a case for IoT applications that manage themselves at runtime to deal with uncertainties. We contribute: (1) a set of concerns that motivate the need for self-management for IoT systems, (2) three initial approaches that illustrate the potential of realising self-managing IoT systems, and (3) a set of open challenges for future research on self-adaptation in IoT.

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Notes

  1. 1.

    www.versasense.com.

  2. 2.

    https://people.cs.kuleuven.be/danny.weyns/software/DeltaIoT/.

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Acknowledgments

We are grateful to the technical staff of VersaSense (https://www.versasense.com/) for the fruitful collaborations.

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Authors and Affiliations

  1. Department of Computer Science, KU Leuven, Leuven, Belgium

    Danny Weyns & Ritesh Kumar Singh

  2. University of Southern California, Los Angeles, USA

    Gowri Sankar Ramachandran

Authors
  1. Danny Weyns
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  2. Gowri Sankar Ramachandran
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  3. Ritesh Kumar Singh
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Corresponding author

Correspondence to Danny Weyns .

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Editors and Affiliations

  1. Vienna University of Technology , Vienna, Austria

    A Min Tjoa

  2. ISAE-ENSMA, Chasseneuil-du-Poitou, France

    Ladjel Bellatreche

  3. Vienna University of Technology, Vienna, Austria

    Stefan Biffl

  4. Utrecht University, Utrecht, The Netherlands

    Jan van Leeuwen

  5. Academy of Sciences, Prague, Czech Republic

    Jiří Wiedermann

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Weyns, D., Ramachandran, G.S., Singh, R.K. (2018). Self-managing Internet of Things. In: Tjoa, A., Bellatreche, L., Biffl, S., van Leeuwen, J., Wiedermann, J. (eds) SOFSEM 2018: Theory and Practice of Computer Science. SOFSEM 2018. Lecture Notes in Computer Science(), vol 10706. Edizioni della Normale, Cham. https://doi.org/10.1007/978-3-319-73117-9_5

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  • DOI: https://doi.org/10.1007/978-3-319-73117-9_5

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