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

Authors: Bruno Dzogovic; Bernardo Santos 0001; Boning Feng; Van Thuan Do 0001; Niels Jacot; Thanh Van Do 0001;

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

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.

Country
Norway
Keywords

Vector Packet Processing, FPGA SoC, Vector packet processing, Enhanced VPN+, 5G

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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