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Fog Computing in IoT Smart Environments via Named Data Networking: A Study on Service Orchestration Mechanisms

Author

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  • Marica Amadeo

    (DIIES Department, University Mediterranea of Reggio Calabria, Via Graziella, Loc. Feo di Vito, 89100 Reggio Calabria, Italy)

  • Giuseppe Ruggeri

    (DIIES Department, University Mediterranea of Reggio Calabria, Via Graziella, Loc. Feo di Vito, 89100 Reggio Calabria, Italy)

  • Claudia Campolo

    (DIIES Department, University Mediterranea of Reggio Calabria, Via Graziella, Loc. Feo di Vito, 89100 Reggio Calabria, Italy)

  • Antonella Molinaro

    (DIIES Department, University Mediterranea of Reggio Calabria, Via Graziella, Loc. Feo di Vito, 89100 Reggio Calabria, Italy
    Laboratoire des Signaux et Systémes (L2S), CentraleSupélec, Université Paris-Saclay, 91190 Gif-sur-Yvette, France)

  • Valeria Loscrí

    (Inria Lille-Nord Europe/FUN, 59650 Villeneuve D’Ascq, France)

  • Carlos T. Calafate

    (Department of Computer Engineering (DISCA), Universitat Politècnica de València, 46022 València, Spain)

Abstract

By offering low-latency and context-aware services, fog computing will have a peculiar role in the deployment of Internet of Things (IoT) applications for smart environments. Unlike the conventional remote cloud, for which consolidated architectures and deployment options exist, many design and implementation aspects remain open when considering the latest fog computing paradigm. In this paper, we focus on the problems of dynamically discovering the processing and storage resources distributed among fog nodes and, accordingly, orchestrating them for the provisioning of IoT services for smart environments. In particular, we show how these functionalities can be effectively supported by the revolutionary Named Data Networking (NDN) paradigm. Originally conceived to support named content delivery, NDN can be extended to request and provide named computation services, with NDN nodes acting as both content routers and in-network service executors. To substantiate our analysis, we present an NDN fog computing framework with focus on a smart campus scenario, where the execution of IoT services is dynamically orchestrated and performed by NDN nodes in a distributed fashion. A simulation campaign in ndnSIM, the reference network simulator of the NDN research community, is also presented to assess the performance of our proposal against state-of-the-art solutions. Results confirm the superiority of the proposal in terms of service provisioning time, paid at the expenses of a slightly higher amount of traffic exchanged among fog nodes.

Suggested Citation

  • Marica Amadeo & Giuseppe Ruggeri & Claudia Campolo & Antonella Molinaro & Valeria Loscrí & Carlos T. Calafate, 2019. "Fog Computing in IoT Smart Environments via Named Data Networking: A Study on Service Orchestration Mechanisms," Future Internet, MDPI, vol. 11(11), pages 1-21, October.
    • Handle: RePEc:gam:jftint:v:11:y:2019:i:11:p:222-:d:279758
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    References listed on IDEAS

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    1. Lee, In & Lee, Kyoochun, 2015. "The Internet of Things (IoT): Applications, investments, and challenges for enterprises," Business Horizons, Elsevier, vol. 58(4), pages 431-440.
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    Cited by:

    1. Luís Gameiro & Carlos Senna & Miguel Luís, 2020. "ndnIoT-FC: IoT Devices as First-Class Traffic in Name Data Networks," Future Internet, MDPI, vol. 12(11), pages 1-21, November.

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