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Uncovering Effective Roles and Tasks for Fog Systems

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Service-Oriented and Cloud Computing (ESOCC 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14183))

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Abstract

Fog computing has evolved as a promising paradigm to overcome challenges of edge and cloud computing for use cases such as autonomous driving and virtual reality demanding low latency and the handling of large data loads. The design of fog systems between the cloud and edge opens a large space of possible tasks that fog nodes can take, such as (pre-)processing data or providing advanced security measures for networks. The question remains which tasks a fog system should effectively fulfill to meet the objectives of a specific use case and its requirements. We address this question by developing a hierarchy of standardized tasks and roles (defined as effective sets of recurring tasks for fog systems) based on the analyses of implemented and proposed fog systems from 105 research articles. Researchers and practitioners can leverage this hierarchy to select effective fog roles for use cases and mitigate conceptual ambiguity related to fog computing.

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Authors and Affiliations

  1. Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany

    Maximilian Blume, Sebastian Lins & Ali Sunyaev

Authors
  1. Maximilian Blume
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  2. Sebastian Lins
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  3. Ali Sunyaev
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Corresponding author

Correspondence to Maximilian Blume .

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Editors and Affiliations

  1. University of Cyprus, Nicosia, Cyprus

    George A. Papadopoulos

  2. RWTH Aachen University, Aachen, Germany

    Florian Rademacher

  3. University of Pisa, Pisa, Italy

    Jacopo Soldani

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Blume, M., Lins, S., Sunyaev, A. (2023). Uncovering Effective Roles and Tasks for Fog Systems. In: Papadopoulos, G.A., Rademacher, F., Soldani, J. (eds) Service-Oriented and Cloud Computing. ESOCC 2023. Lecture Notes in Computer Science, vol 14183. Springer, Cham. https://doi.org/10.1007/978-3-031-46235-1_8

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  • DOI: https://doi.org/10.1007/978-3-031-46235-1_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-46234-4

  • Online ISBN: 978-3-031-46235-1

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