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Edge Computing: Use Cases and Research Challenges

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Digital Transformation

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Abstract

The continuum increase of connected devices and the rise of new emergent applications with fast response times, higher privacy, and security, push the horizon to a new industrial revolution. As a result, the impact of optimizing production and product transactions manifests a fierce necessity of developing new concepts like the Industry 4.0. The combination of traditional manufacturing and industrial practices with the increasingly large-scale machine-to-machine and the Internet of Things deployments, helps manufacturers and consumers to better communication and monitoring, along with new levels of analysis, providing a truly productive future. Edge computing represents an integral part of Industry 4.0, having the purpose of enabling computational resources closer to the edge of the network. In this chapter, we describe in detail this paradigm by looking at its advantages and disadvantages as well as some representative use cases. Finally, we present and discuss the research challenges found in edge computing, mostly focusing on resource management.

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Acknowledgements

The research leading to these results has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 764785, FORA–Fog Computing for Robotics and Industrial Automation.

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Authors and Affiliations

  1. Technology, Siemens AG, Vienna, Austria

    Cosmin Avasalcai

  2. Distributed Systems Group, TU Wien, Vienna, Austria

    Schahram Dustdar

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  1. Cosmin Avasalcai
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Correspondence to Schahram Dustdar .

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Editors and Affiliations

  1. Technische Universität München, Garching b. München, Bayern, Germany

    Birgit Vogel-Heuser

  2. Johannes Kepler University Linz, Linz, Oberösterreich, Austria

    Manuel Wimmer

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Avasalcai, C., Dustdar, S. (2023). Edge Computing: Use Cases and Research Challenges. In: Vogel-Heuser, B., Wimmer, M. (eds) Digital Transformation. Springer Vieweg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-65004-2_5

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  • DOI: https://doi.org/10.1007/978-3-662-65004-2_5

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