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An Intelligent Agent-Based Industrial IoT Framework for Time-Critical Data Stream Processing

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Mobile, Secure, and Programmable Networking (MSPN 2020)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 12605))

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Abstract

The Industrial Internet of Things (IIoT) intends to speed up digital manufacturing transformation. As a crucial role, Industrial IoT aims to improve the performance and reliability of the processing of massive time-critical data continually generated by heterogeneous smart objects. To resolve these challenges, Industrial IoT incorporates the Fog computing paradigm to support intelligence near the Edge level as an additional alternative to Cloud computing. However, a Fog node allows dealing with only limited data processing, storage, and communications. Indeed, a heavy load processing task requires multiple Fog nodes to achieve its execution and may need an intelligent dynamic pooling of Cloud resources. In this paper, we propose PIAF (A Processing Intelligent Agent Running on Fog Infrastructure). An intelligent agent-based IIoT framework that runs on the Fog infrastructure to distribute the processing of time-critical data streams. We outline its several components and their interactions. Then, for this purpose, we model the PIAF framework using the Time Petri Nets modeling.

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Author information

Authors and Affiliations

  1. CEDRIC, Conservatoire National des Arts et Métiers, Paris, France

    Ines Gharbi & Kamel Barkaoui

  2. LIPSIC, Faculté des Sciences de Tunis, Université de Tunis El Manar, Tunis, Tunisia

    Ines Gharbi & Ben Ahmed Samir

Authors
  1. Ines Gharbi
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  2. Kamel Barkaoui
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  3. Ben Ahmed Samir
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Corresponding authors

Correspondence to Ines Gharbi , Kamel Barkaoui or Ben Ahmed Samir .

Editor information

Editors and Affiliations

  1. Cedric Lab, Cnam, Paris, France

    Samia Bouzefrane

  2. Télécom SudParis, Evry, France

    Maryline Laurent

  3. Cedric Lab, Cnam, Paris, France

    Selma Boumerdassi

  4. LIGM, ESIEE, Noisy-le-Grand, France

    Eric Renault

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Gharbi, I., Barkaoui, K., Samir, B.A. (2021). An Intelligent Agent-Based Industrial IoT Framework for Time-Critical Data Stream Processing. In: Bouzefrane, S., Laurent, M., Boumerdassi, S., Renault, E. (eds) Mobile, Secure, and Programmable Networking. MSPN 2020. Lecture Notes in Computer Science(), vol 12605. Springer, Cham. https://doi.org/10.1007/978-3-030-67550-9_13

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  • DOI: https://doi.org/10.1007/978-3-030-67550-9_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-67549-3

  • Online ISBN: 978-3-030-67550-9

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