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

Rameez Asif, Kinan Ghanem

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publication2021 IEEE 18th Annual Consumer Communications and Networking Conference, CCNC 2021
Pages1-6
Number of pages6
ISBN (Electronic)9781728197944
DOIs
Publication statusPublished - 2021

Publication series

Name2021 IEEE 18th Annual Consumer Communications and Networking Conference, CCNC 2021

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