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Performance, Resilience, and Security in Moving Data from the Fog to the Cloud: The DYNAMO Transfer Framework Approach

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Internet and Distributed Computing Systems (IDCS 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11226))

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Abstract

The data crowdsourcing paradigm applied in coastal and marine monitoring and management has been developed only recently due to the challenges of the marine environment. The pervasive internet of things technology is contributing to increase the number of connected instrumented devices available for data crowd-sourcing. A main issue in the fog/edge/cloud paradigm is that collected data need to be moved from tiny low power devices to cloud resources in order to be processed. This paper is about the DYNAMO data transfer framework enabling the data transfer feature in a internet of floating things scenario. The proposed framework is our solution to mitigate the effects of extreme and delay tolerant environments.

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Notes

  1. 1.

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Acknowledgments

This work has been supported in part by U.S. National Science Foundation awards 0951576 and 1331782; and by the University of Napoli Parthenope, Italy (project DSTE333 “Modelling Mytilus Farming System with Enhanced Web Technologies” funded by Campania Region/Veterinary sector).

Author information

Authors and Affiliations

  1. Department of Science and Technology, University of Napoli “Parthenope”, Naples, Italy

    Raffaele Montella, Diana Di Luccio & Giulio Giunta

  2. Center for Robust Decisionmaking on Climate and Energy Policy, Chicago, USA

    Raffaele Montella, Diana Di Luccio & Ian Foster

  3. Department of Computer Science, The University of Chicago, Chicago, USA

    Ian Foster

  4. CMI, Department of Electronic Systems, Aalborg University, Aalborg, Denmark

    Sokol Kosta

Authors
  1. Raffaele Montella
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  2. Diana Di Luccio
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  3. Sokol Kosta
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  4. Giulio Giunta
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  5. Ian Foster
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Corresponding author

Correspondence to Raffaele Montella .

Editor information

Editors and Affiliations

  1. Swinburne University of Technology, Hawthorn, VIC, Australia

    Yang Xiang

  2. National Institute of Informatics, Tokyo, Japan

    Jingtao Sun

  3. University of Calabria, Rende (CS), Italy

    Giancarlo Fortino

  4. ICAR-CNR, Rende (CS), Italy

    Antonio Guerrieri

  5. Chung-Ang University, Seoul, Korea (Republic of)

    Jason J. Jung

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Montella, R., Di Luccio, D., Kosta, S., Giunta, G., Foster, I. (2018). Performance, Resilience, and Security in Moving Data from the Fog to the Cloud: The DYNAMO Transfer Framework Approach. In: Xiang, Y., Sun, J., Fortino, G., Guerrieri, A., Jung, J. (eds) Internet and Distributed Computing Systems. IDCS 2018. Lecture Notes in Computer Science(), vol 11226. Springer, Cham. https://doi.org/10.1007/978-3-030-02738-4_17

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  • DOI: https://doi.org/10.1007/978-3-030-02738-4_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-02737-7

  • Online ISBN: 978-3-030-02738-4

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