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ZQTRTT: A Multipath Scheduler for Heterogeneous Traffic in ICNs Based on Zero Queueing Time Ratio
RISE.
Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), Institutionen för matematik och datavetenskap (from 2013).ORCID-id: 0000-0003-4147-9487
2022 (engelsk)Inngår i: ICN 2022 - Proceedings of the 2022 9th ACM Conference on Information-Centric Networking, Association for Computing Machinery (ACM), 2022Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Information-centric networks (ICNs) intrinsically support multipath transfer and thus have been seen as an exciting paradigm for IoT and edge computing, not least in the context of 5G mobile networks. One key to ICN’s success in these and other networks that have to support a diverse set of services over a heterogeneous network infrastructure is to schedule traffic over the available network paths efficiently. This paper presents and evaluates ZQTRTT, a multipath scheduling scheme for ICN that load balances bulk traffic over available network paths and schedules latency-sensitive, non-bulk traffic to reduce its transfer delay. A new metric called zero queueing time (ZQT) ratio estimates path load and is used to compute forwarding fractions for load balancing. In particular, the paper shows through a simulation campaign that ZQTRTT can accommodate the demands of both latency-sensitive and-insensitive traffic as well as evenly distribute traffic over available network paths. 

sted, utgiver, år, opplag, sider
Association for Computing Machinery (ACM), 2022.
Emneord [en]
5G mobile communication systems, Queueing networks, Queueing theory, Scheduling, Heterogeneous traffic, Information Centric Networks, Low latency, Multipath, Multipath scheduling, Network paths, Network-based, Queue time, Time ratio, Zero queue time, Heterogeneous networks
HSV kategori
Forskningsprogram
Datavetenskap
Identifikatorer
URN: urn:nbn:se:kau:diva-92297DOI: 10.1145/3517212.3558080Scopus ID: 2-s2.0-85138683785ISBN: 978-1-4503-9257-0 (tryckt)OAI: oai:DiVA.org:kau-92297DiVA, id: diva2:1706765
Konferanse
9th ACM Conference on Information-Centric Networking, Osaka, September 19-21, 2022.
Forskningsfinansiär
EU, Horizon 2020, 101015922Knowledge FoundationTilgjengelig fra: 2022-10-27 Laget: 2022-10-27 Sist oppdatert: 2023-01-23bibliografisk kontrollert

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Grinnemo, Karl-Johan

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