dc.contributor.author | Dzogovic, Bruno | |
dc.contributor.author | Santos, Bernardo | |
dc.contributor.author | Feng, Boning | |
dc.contributor.author | Do, Thuan Van | |
dc.contributor.author | Jacot, Niels | |
dc.contributor.author | Do, van Thanh | |
dc.date.accessioned | 2022-03-08T13:21:42Z | |
dc.date.available | 2022-03-08T13:21:42Z | |
dc.date.created | 2021-12-06T19:49:45Z | |
dc.date.issued | 2021-08-16 | |
dc.identifier.isbn | 978-3-030-83164-6 | |
dc.identifier.isbn | 978-3-030-83163-9 | |
dc.identifier.issn | 0302-9743 | |
dc.identifier.issn | 1611-3349 | |
dc.identifier.uri | https://hdl.handle.net/11250/2983806 | |
dc.description.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. | en_US |
dc.description.sponsorship | 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. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Springer | en_US |
dc.relation.ispartof | Mobile Web and Intelligent Information Systems: 17th International Conference, MobiWIS 2021, Virtual Event, August 23–25, 2021, Proceedings | |
dc.relation.ispartofseries | Lecture Notes in Computer Science;Volume 12814 | |
dc.subject | 5G | en_US |
dc.subject | Enhanced VPN+ | en_US |
dc.subject | Vector Packet Processing | en_US |
dc.subject | FPGA SoC | en_US |
dc.title | Optimizing 5G VPN+ Transport Networks with Vector Packet Processing and FPGA Cryptographic Offloading | en_US |
dc.type | Conference object | en_US |
dc.description.version | acceptedVersion | en_US |
cristin.ispublished | true | |
cristin.fulltext | preprint | |
cristin.qualitycode | 1 | |
dc.identifier.doi | https://doi.org/10.1007/978-3-030-83164-6_7 | |
dc.identifier.cristin | 1965308 | |
dc.source.journal | Lecture Notes in Computer Science | en_US |
dc.source.volume | 12814 | en_US |
dc.source.issue | 12814 | en_US |
dc.source.pagenumber | 14 | en_US |
dc.relation.project | Horisont 2020: EC/H2020/830927 | en_US |