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In-network Support for Packet Reordering for Multiaccess Transport Layer Tunneling
Deutsche Telekom, DEU.
Deutsche Telekom, DEU.
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).ORCID iD: 0000-0002-9446-8143
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2022 (English)In: 2022 IEEE 11th IFIP International Conference on Performance Evaluation and Modeling in Wireless and Wired Networks, PEMWN 2022, IEEE, 2022Conference paper, Published paper (Refereed)
Abstract [en]

Networked systems have recently aimed to use multiple access networks in parallel to increase resiliency, availability and capacity. However, different paths may have different latency characteristics, which may lead to out-of-order packet delivery. This may severely impact both the end-to-end application performance and the capacity utilisation of multiaccess systems. In this paper, we show that in-network support for packet reordering for multiaccess systems that are based on multiple transport layer tunnels is beneficial for several application types. Our findings are applicable to TCP and QUIC traffic in the 3GPP ATSSS context, where we use the MP-DCCP tunneling framework with a buffer-based packet reordering approach that uses a dynamic timing threshold to cope with variation of path delays over time. We demonstrate achievable performance gains for a wide range of path latency differences and end-to-end round trip times when using different in-network reordering algorithms.

Place, publisher, year, edition, pages
IEEE, 2022.
Keywords [en]
ATSSS, multiaccess networks, packet reordering, TCP BBR, transport layer tunneling, Mobile telecommunication systems, Network layers, Packet networks, In networks, Multi-access systems, Multiaccess, Network support, Transport layers, Transmission control protocol
National Category
Computer and Information Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-92826DOI: 10.23919/PEMWN56085.2022.9963814Scopus ID: 2-s2.0-85144214611ISBN: 9783903176508 (print)OAI: oai:DiVA.org:kau-92826DiVA, id: diva2:1722975
Conference
11th IEEE IFIP International Conference on Performance Evaluation and Modeling in Wireless and Wired Networks, PEMWN 2022, 8 November 2022 through 10 November 2022
Available from: 2023-01-02 Created: 2023-01-02 Last updated: 2023-01-02Bibliographically approved

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Pieskä, MarcusKassler, AndreasBrunström, Anna

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Citation style
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