AI Secured SD-WAN Architecture as a Latency Critical IoT Enabler for 5G and Beyond Communications

Asif, Rameez and Ghanem, Kinan (2021) AI Secured SD-WAN Architecture as a Latency Critical IoT Enabler for 5G and Beyond Communications. In: 2021 IEEE 18th Annual Consumer Communications and Networking Conference, CCNC 2021. 2021 IEEE 18th Annual Consumer Communications and Networking Conference, CCNC 2021 . UNSPECIFIED, pp. 1-6. ISBN 9781728197944

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Abstract

Software-defined Wide Area Network (SD-WAN) is an elementary change in the way network architects and service providers transpose their focus from hardware to the software oriented paradigm. Using a virtual network overlay, SD-WAN classifies and prioritizes how each application goes through the network based on business priority, quality of service (QoS), service-level agreements (SLAs) and security requirements. In this paper, we reviewed a system level concept and implementation of AI secured SD-WAN technology that is helping service providers to easily connect to and integrate across all the different IoT compute edges required to optimize the traffic and management of 5G cells. This architecture will enable a seamless transition for energy sector towards a full 5G connectivity by managing any data available across the edge, leveraging 5G transport for those critical applications that require ultra-low latency and higher bandwidths. Moreover, we weigh the pros and cons of using hybrid Multi-protocol Label Switching (MPLS) with SD-WAN to provide seamless integration, scalability and flexibility to the energy sector.

Item Type: Book Section
Uncontrolled Keywords: artificial intelligence,computer networks and communications,computer vision and pattern recognition ,/dk/atira/pure/subjectarea/asjc/1700/1702
Faculty \ School: Faculty of Science > School of Computing Sciences
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Depositing User: LivePure Connector
Date Deposited: 26 Jul 2022 14:30
Last Modified: 12 Aug 2022 03:30
URI: https://ueaeprints.uea.ac.uk/id/eprint/86889
DOI: 10.1109/CCNC49032.2021.9369477

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