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Dynamic Adaptation of Urgent Applications in the Edge-to-Cloud Continuum

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Euro-Par 2023: Parallel Processing Workshops (Euro-Par 2023)

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Abstract

The integration of Urgent Computing is essential in order to adhere to stringent time and quality constraints of emerging distributed applications, hence facilitating efficient decision-making processes in numerous fields. Adaptation of such applications to produce outcomes within the desired confidence range and defined time interval can be of great benefit, especially in distributed and heterogeneous execution contexts. This study provides a justification for the necessity of dynamic adaptation in applications that are time-sensitive. Furthermore, we present our viewpoint on time-sensitive applications and undertake a thorough analysis of the underlying principles and challenges that need to be resolved in order to accomplish this goal. This research aims to provide a comparative analysis of our suggested vision for adaptation in contrast to the existing literature. We provide a comprehensive explanation of the architectural framework that we plan to construct, and conclude with discussing some on-going challenges.

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Notes

  1. 1.

    https://argoproj.github.io/argo-workflows/.

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Author information

Authors and Affiliations

  1. IMT Atlantique, INRIA, LS2N, UMR CNRS 6004, 44307, Nantes, France

    Daniel Balouek & Hélène Coullon

Authors
  1. Daniel Balouek
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  2. Hélène Coullon
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Corresponding author

Correspondence to Daniel Balouek .

Editor information

Editors and Affiliations

  1. University of Cyprus, Nicosia, Cyprus

    Demetris Zeinalipour

  2. University of Santiago de Compostela, Santiago de Compostela, Spain

    Dora Blanco Heras

  3. University of Cyprus, Nicosia, Cyprus

    George Pallis

  4. Cyprus University of Technology, Limassol, Cyprus

    Herodotos Herodotou

  5. University of Nicosia, Nicosia, Cyprus

    Demetris Trihinas

  6. Inria, Nantes, France

    Daniel Balouek

  7. Louisiana State University, Baton Rouge, LA, USA

    Patrick Diehl

  8. Karlsruhe Institute of Technology, Karlsruhe, Germany

    Terry Cojean

  9. Ludwig-Maximilians-Universität, Munich, Germany

    Karl Fürlinger

  10. Roskilde University, Roskilde, Denmark

    Maja Hanne Kirkeby

  11. Bank of Italy, Rome, Italy

    Matteo Nardelli

  12. Roma Tre University, Rome, Italy

    Pierangelo Di Sanzo

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Balouek, D., Coullon, H. (2024). Dynamic Adaptation of Urgent Applications in the Edge-to-Cloud Continuum. In: Zeinalipour, D., et al. Euro-Par 2023: Parallel Processing Workshops. Euro-Par 2023. Lecture Notes in Computer Science, vol 14351. Springer, Cham. https://doi.org/10.1007/978-3-031-50684-0_15

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  • DOI: https://doi.org/10.1007/978-3-031-50684-0_15

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