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A Stream-Aware Multipath QUIC Scheduler for Heterogeneous Paths
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: 0000-0002-8731-2482
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).ORCID iD: 0000-0001-7311-9334
2018 (English)In: EPIQ 2018 - Proceedings of the 2018 Workshop on the Evolution, Performance, and Interoperability of QUIC, Part of CoNEXT 2018, Association for Computing Machinery (ACM), 2018, p. 29-35Conference paper, Published paper (Refereed)
Abstract [en]

Multipath communication is an attractive solution to the increasing need for improving web performance, by allowing devices to aggregate the capacity of different network paths, which can thus lead to lower latencies. However, path asymmetry is known to incur performance issues for multipath transport protocols, such as head-of-line blocking (HoLB), as well as other issues. We propose a proof-of-concept algorithm for a stream-aware packet scheduler for Multipath QUIC, called Stream-Aware Earliest Completion First (SA-ECF). SA-ECF schedules the sending of stream data so that the completion of individual streams are not delayed by slower paths, while providing a fair allocation of the aggregated bandwidth based on stream priority information from HTTP/2. We compare the performance of SA-ECF with other packet schedulers for MPQUIC using measurements from a virtualized testbed. Our results show that SA-ECF is able to handle path heterogeneity well, and can provide lower stream completion times than non stream-aware schedulers.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2018. p. 29-35
Keywords [en]
Heterogeneity, Http/2, Mpquic, Multipath, Prioritization, Quic, Resource loading, HTTP, Interoperability, Scheduling
National Category
Communication Systems
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-70321DOI: 10.1145/3284850.3284855ISI: 000473331700005Scopus ID: 2-s2.0-85061646228ISBN: 9781450360821 (print)OAI: oai:DiVA.org:kau-70321DiVA, id: diva2:1269708
Conference
Interoperability of QUIC, EPIQ 2018, co-located with ACM CoNEXT 2018, 4 December 2018
Available from: 2018-12-11 Created: 2018-12-11 Last updated: 2019-08-06Bibliographically approved

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Rabitsch, AlexanderBrunström, Anna

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  • apa
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