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Using ICN slicing framework to build an IoT edge network

Published:21 September 2018Publication History

ABSTRACT

We demonstrate 5G network slicing as a unique deployment opportunity for information centric networking (ICN), by using a generic service orchestration framework that operates on commodity compute, storage, and bandwidth resource pools to realize ICN service slices. In this demo, we specifically propose a service slice for the IoT Edge network. ICN has often been considered pertinent for IoT use due to its benefits like simpler stacks on resource constrained devices, in-network caching, and in-built data provenance. We use a lightweight ICN stack on IoT devices connected with sensors and actuators to build a network, where clients can set realistic policies using their legacy hand-held devices. We employ name based authentication protocols between the service end-points and IoT devices to allow secure onboarding. The IoT slice co-exists with other service slices that cater to different classes of applications (e.g., bandwidth intensive applications, such as video conferencing) allowing resource management flexibility. Our design creates orchestrated service Edge functions to which the clients connect, and these can in turn utilize in-network stateless functions to perform tasks, such as decision making and analytics using the available compute resources efficiently.

References

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  1. Using ICN slicing framework to build an IoT edge network

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      • Published in

        cover image ACM Conferences
        ICN '18: Proceedings of the 5th ACM Conference on Information-Centric Networking
        September 2018
        230 pages
        ISBN:9781450359597
        DOI:10.1145/3267955

        Copyright © 2018 Owner/Author

        Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 21 September 2018

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        • demonstration

        Acceptance Rates

        ICN '18 Paper Acceptance Rate17of57submissions,30%Overall Acceptance Rate133of482submissions,28%

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