Silva, Fabio ORCID: 0000-0001-6019-372X, Bogusevschi, Diana and Muntean, Gabriel-Miro ORCID: 0000-0002-9332-4770 (2018) Innovative algorithms for prioritised AR/VR content delivery. In: 2018 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), 6-8 June 2018, Valencia, Spain.
Abstract
This paper proposes, describes and analyses two innovative approaches which make use of the Multipath Transmission Control Protocol (MPTCP) and its multiple flows for prioritised AR/VR content delivery. The first approach involves delivery of prioritised data using a fixed subflow and therefore establishment of a virtual private channel (VPC) for sending data. The second approach introduces a novel QoS on-the-fly (QoSF) algorithm that evaluates all subflows’ delivery performance and dynamically selects one of them to deliver the prioritised content with the lowest latency. Both algorithms are assessed in singlehomed and multi-homed configurations and present different performance improvements in comparison to the classic MPTCP. While QoSF algorithm demonstrates the best performance in scenarios where the delivery latency variation between subflows is high, the VPC algorithm has the best results in scenarios where this variation is smaller.
Metadata
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Event Type: | Conference |
Refereed: | Yes |
Uncontrolled Keywords: | MPTCP; QoS; AR/VR; prioritised content delivery |
Subjects: | Computer Science > Computer networks Computer Science > Computer software Computer Science > Machine learning Computer Science > Multimedia systems Engineering > Electronic engineering |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering Research Institutes and Centres > Lero: The Irish Software Engineering Research Centre |
Published in: | 2018 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB). . IEEE. |
Publisher: | IEEE |
Official URL: | https://dx.doi.org/10.1109/BMSB.2018.8436823 |
Copyright Information: | © 2018 IEEE |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
Funders: | European Union’s Horizon 2020 Research and Innovation programme under Grant Agreement no. 688503 for the NEWTON project (http://newtonproject.eu). |
ID Code: | 26038 |
Deposited On: | 28 Jun 2021 10:42 by Fabio Rodrigues Da silva . Last Modified 28 Jun 2021 11:15 |
Documents
Full text available as:
Preview |
PDF
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
689kB |
Metrics
Altmetric Badge
Dimensions Badge
Downloads
Downloads
Downloads per month over past year
Archive Staff Only: edit this record