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Monty: A Framework for Latency-aware Multi-flow ATSSS Scheduling
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).ORCID iD: 0000-0002-8870-9887
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).ORCID iD: 0000-0002-8731-2482
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).ORCID iD: 0000-0003-0368-9221
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).ORCID iD: 0000-0001-7311-9334
2024 (English)In: 2024 IEEE 49th Conference on Local Computer Networks (LCN), IEEE, 2024, p. 1-9Conference paper, Published paper (Refereed)
Abstract [en]

The Access Traffic Steering, Switching, and Splitting (ATSSS) technology, currently under standardization by the 3rd Generation Partnership Project (3GPP), is designed to enhance wireless access through the bundling of both 3GPP and non-3GPP access. One implementation option involves tunneling data through the Multipath QUIC (MP-QUIC) protocol. The decision of which access network each packet is transmitted on can greatly impact the performance of a network flow, and may also impact the performance of other flows. While Active Queue Management (AQM) in the network could normally manage such interactions, such techniques are limited in a shared multipath-tunnel context, since all traffic in the tunnel share a single connection. This paper introduces a multi-flow, multipath tunneling framework using MP-QUIC. It employs four distinct scheduling policies for packet scheduling decisions. We investigate how such scheduling policies interact with each other, and how they may be combined in order to achieve trade-offs in terms of latency, interactivity, and throughput. Through an extensive investigation in both emulated and real-world environments, we show that Quality of Service (QoS) can be significantly improved by smart combinations of scheduling policies.

Place, publisher, year, edition, pages
IEEE, 2024. p. 1-9
Keywords [en]
Wireless Communication, Protocols, Scheduling Algorithms, Quality Of Service, Switches, Standardization, Tunneling, Throughput, Object Object, Access Network, Network Management, Scheduling Decisions, 3rd Generation Partnership Project, Scavenging, High Flow, Care Policy, Interaction Score, Propagation Delay, Video Quality, Scheduling Scheme Object Object, Traffic Patterns, Multiple Flow, Minimum Latency, Back Off, Primary Path, Transport Protocol, Datagram, Reliable Delivery Object Object, You Tube, Deployment Scenarios, Receiver Side, Network Path, Data Delivery
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-102013DOI: 10.1109/LCN60385.2024.10639681OAI: oai:DiVA.org:kau-102013DiVA, id: diva2:1905816
Conference
2024 IEEE 49th Conference on Local Computer Networks (LCN)
Available from: 2024-10-15 Created: 2024-10-15 Last updated: 2024-10-15Bibliographically approved

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Rabitsch, AlexanderHurtig, PerAlfredsson, StefanBrunstrom, Anna

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