A Software-Defined Queuing Framework for QoS Provisioning in 5G and beyond Mobile Systems
dc.contributor | Aalto-yliopisto | fi |
dc.contributor | Aalto University | en |
dc.contributor.author | Abbou, Aiman Nait | en_US |
dc.contributor.author | Taleb, Tarik | en_US |
dc.contributor.author | Song, Jaeseung | en_US |
dc.contributor.department | Department of Communications and Networking | en |
dc.contributor.groupauthor | Mobile Network Softwarization and Service Customization | en |
dc.contributor.organization | Sejong University | en_US |
dc.date.accessioned | 2021-05-26T07:06:15Z | |
dc.date.available | 2021-05-26T07:06:15Z | |
dc.date.issued | 2021-03 | en_US |
dc.description | Publisher Copyright: © 1986-2012 IEEE. Copyright: Copyright 2021 Elsevier B.V., All rights reserved. | openaire: EC/H2020/871780/EU//MonB5G | |
dc.description.abstract | There is an ever-increasing demand for network technologies supporting Ultra-Reliable Low Latency Communications (URLLC) services and their co-existence with best-effort traffic. By way of example, reference can be made to the emerging 5G mobile networks. In this vein, this article investigates the Software-Defined Networking (SDN) technology capabilities for providing Quality of Service (QoS) guarantees. Specifically, we present a testbed, under development, dubbed Soft-ware-Defined Queueing (SDQ). This framework leverages QoS provision functionalities of SDN. SDQ can be regarded as a framework for testing traffic engineering solutions in networks with deterministic QoS support. By using SDQ, we develop and test a specific solution that chooses the optimal queue and path for each incoming flow in order to reduce the workload imbalances in the network. For the experimental setup, we consider a generic SDN network whose bridges include three priority queues at every output port. Furthermore, we compare the aforementioned solution with a best-effort network and an SDN-enabled network with QoS support configured by default. The obtained results show that the envisioned solution outperforms the baseline one of SDN and the best-effort solution in terms of the average latency recorded. | en |
dc.description.version | Peer reviewed | en |
dc.format.extent | 6 | |
dc.format.extent | 168-173 | |
dc.format.mimetype | application/pdf | en_US |
dc.identifier.citation | Abbou, A N, Taleb, T & Song, J 2021, ' A Software-Defined Queuing Framework for QoS Provisioning in 5G and beyond Mobile Systems ', IEEE Network, vol. 35, no. 2, 9373008, pp. 168-173 . https://doi.org/10.1109/MNET.011.2000441 | en |
dc.identifier.doi | 10.1109/MNET.011.2000441 | en_US |
dc.identifier.issn | 0890-8044 | |
dc.identifier.other | PURE UUID: e4ad84b9-9cbf-4217-93ee-3c290ee5b192 | en_US |
dc.identifier.other | PURE ITEMURL: https://research.aalto.fi/en/publications/e4ad84b9-9cbf-4217-93ee-3c290ee5b192 | en_US |
dc.identifier.other | PURE LINK: http://www.scopus.com/inward/record.url?scp=85102633791&partnerID=8YFLogxK | en_US |
dc.identifier.other | PURE FILEURL: https://research.aalto.fi/files/62900299/ELEC_Abbou_etal_A_Software_Defined_Quieying_Framework_IEEE_Network_2021_acceptedauthormanuscript.pdf | en_US |
dc.identifier.uri | https://aaltodoc.aalto.fi/handle/123456789/107771 | |
dc.identifier.urn | URN:NBN:fi:aalto-202105267030 | |
dc.language.iso | en | en |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | |
dc.relation | info:eu-repo/grantAgreement/EC/H2020/871780/EU//MonB5G | en_US |
dc.relation.ispartofseries | IEEE NETWORK | en |
dc.relation.ispartofseries | Volume 35, issue 2 | en |
dc.rights | openAccess | en |
dc.title | A Software-Defined Queuing Framework for QoS Provisioning in 5G and beyond Mobile Systems | en |
dc.type | A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä | fi |
dc.type.version | acceptedVersion |