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ECHOES: A Fail-Safe, Conflict Handling, and Scalable Data Management Mechanism for the Internet of Things

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Advances in Databases and Information Systems (ADBIS 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11695))

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Abstract

The Internet of Things (IoT) and Smart Services are becoming increasingly popular. Such services adapt to a user’s needs by using sensors to detect the current situation. Yet, an IoT service has to capture its required data by itself, even if another service has already captured it before. There is no data exchange mechanism adapted to the IoT which enables sharing of sensor data among services and across devices.

Therefore, we introduce a data management mechanism for the IoT. Due to its applied state-based synchronization protocol called ECHOES. It is fail-safe in case of connection failures, it detects and handles data conflicts, it is geared towards devices with limited resources, and it is highly scalable. We embed ECHOES into a data provisioning infrastructure, namely the Privacy Management Platform and the Secure Data Container. Evaluation results verify the practicability of our approach.

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Notes

  1. 1.

    We use the term ‘Smart Thing’ for any kind of device which is able to connect to other devices in order to exchange data with each other and has the ability either to monitor its environment or to control other devices.

  2. 2.

    see https://developer.android.com/things/.

  3. 3.

    see https://emteria.com/.

  4. 4.

    see https://www.couchbase.com/products/mobile.

  5. 5.

    see https://www.resilio.com.

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Acknowledgment

We thank the BW-Stiftung for financing the PATRON research project and the DFG for funding the SitOPT research project.

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Authors and Affiliations

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

    Christoph Stach & Bernhard Mitschang

Authors
  1. Christoph Stach
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  2. Bernhard Mitschang
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Corresponding author

Correspondence to Christoph Stach .

Editor information

Editors and Affiliations

  1. University of Maribor, Maribor, Slovenia

    Tatjana Welzer

  2. Alpen-Adria Universität Klagenfurt, Klagenfurt, Austria

    Johann Eder

  3. University of Maribor, Maribor, Slovenia

    Vili Podgorelec

  4. University of Maribor, Maribor, Slovenia

    Aida Kamišalić Latifić

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Stach, C., Mitschang, B. (2019). ECHOES: A Fail-Safe, Conflict Handling, and Scalable Data Management Mechanism for the Internet of Things. In: Welzer, T., Eder, J., Podgorelec, V., Kamišalić Latifić, A. (eds) Advances in Databases and Information Systems. ADBIS 2019. Lecture Notes in Computer Science(), vol 11695. Springer, Cham. https://doi.org/10.1007/978-3-030-28730-6_23

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  • DOI: https://doi.org/10.1007/978-3-030-28730-6_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-28729-0

  • Online ISBN: 978-3-030-28730-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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