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Optimizing 5G VPN+ Transport Networks with Vector Packet Processing and FPGA Cryptographic Offloading

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Mobile Web and Intelligent Information Systems (MobiWIS 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12814))

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Abstract

Network slicing is the crucial prerogative that allows end users and industries to thrive from 5G infrastructures, however, such a logical network component can deteriorate from security vulnerabilities that prevail within cloud environments and datacenters. The Quality of Experience in 5G is a metric that takes into consideration sets of factors, which play role in the definition of the end-to-end performance, which is indeed latency, packet processing, utilization of legacy protocols, old hardware, encryption, non-optimized network topologies, routing problems and multitude of other aspects. This research sheds light on the inherent networking stack performance issues that translate into 5G environments, in a use-case where encrypted VPN tunneling is used to secure the backhaul transport network between the 4G/5G cores and the frontend networks.

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Acknowledgement

This paper is a result of the H2020 Concordia project (https://www.concordia-h2020.eu) which has received funding from the EU H2020 programme under grant agreement No 830927. The CONCORDIA consortium includes 23 partners from industry and other organizations such as Telenor, Telefonica, Telecom Italia, Ericsson, Siemens, Airbus, etc. and 23 partners from academia such as CODE, university of Twente, OsloMet, etc.

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Correspondence to Bruno Dzogovic .

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Dzogovic, B., Santos, B., Feng, B., Do, V.T., Jacot, N., Van Do, T. (2021). Optimizing 5G VPN+ Transport Networks with Vector Packet Processing and FPGA Cryptographic Offloading. In: Bentahar, J., Awan, I., Younas, M., Grønli, TM. (eds) Mobile Web and Intelligent Information Systems. MobiWIS 2021. Lecture Notes in Computer Science(), vol 12814. Springer, Cham. https://doi.org/10.1007/978-3-030-83164-6_7

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  • DOI: https://doi.org/10.1007/978-3-030-83164-6_7

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