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Context Information Management in a Microservice Based Measurement and Processing Infrastructure

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Innovations for Community Services (I4CS 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1585))

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Abstract

Within a distributed software system for measuring and processing data streams, the services require knowledge to the contextualization of information. Using microservices in combination with a network of heterogeneous devices - as usual in an internet of things setting - requires the management of knowledge about integrated data and its context. Reference architectures suggest here the centralization of this knowledge management. This contribution deals with the question of how this knowledge can be structured and how to apply integration and processing services in a microservice architecture. The main focus here is on how data collection and context can be combined independently of the corresponding services and without influencing participating services. The result is a data model and a query language, which we used within the architecture to manage knowledge and used by integration and processing services. The result is evaluated based on scenario considerations in the internet of things setting, such as adding, replacing and removing devices while maintaining the context. Additionally, we provide an insight into the practical application of the approach in a realized microservice infrastructure for the management and optimization of a local smart grid.

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Notes

  1. 1.

    https://github.com/winner-potential/masterdata.

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Author information

Authors and Affiliations

  1. Friedrich Schiller University Jena, 07743, Jena, Germany

    Steffen Späthe

  2. Sächsisches Landesgymnasium Sankt Afra, 01662, Meißen, Germany

    Florian Greulich

  3. Technische Hochschule Ingolstadt, 85019, Ingolstadt, Germany

    Sebastian Apel

Authors
  1. Steffen Späthe
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  2. Florian Greulich
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  3. Sebastian Apel
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Corresponding author

Correspondence to Steffen Späthe .

Editor information

Editors and Affiliations

  1. Netherlands Organisation for Applied Scientific Research, The Hague, The Netherlands

    Frank Phillipson

  2. Deutsche Telekom Technology & Innovation, Darmstadt, Germany

    Gerald Eichler

  3. University of Applied Sciences Jena, Jena, Germany

    Christian Erfurth

  4. University of Hagen, Hagen, Germany

    Günter Fahrnberger

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Späthe, S., Greulich, F., Apel, S. (2022). Context Information Management in a Microservice Based Measurement and Processing Infrastructure. In: Phillipson, F., Eichler, G., Erfurth, C., Fahrnberger, G. (eds) Innovations for Community Services. I4CS 2022. Communications in Computer and Information Science, vol 1585. Springer, Cham. https://doi.org/10.1007/978-3-031-06668-9_10

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  • DOI: https://doi.org/10.1007/978-3-031-06668-9_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-06667-2

  • Online ISBN: 978-3-031-06668-9

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