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AVIRA: Enhanced multipath for content-aware adaptive virtual reality

Silva, Fabio orcid logoORCID: 0000-0001-6019-372X, Togou, Mohammed orcid logoORCID: 0000-0002-8374-910X and Muntean, Gabriel-Miro orcid logoORCID: 0000-0002-9332-4770 (2020) AVIRA: Enhanced multipath for content-aware adaptive virtual reality. In: 2020 International Wireless Communications and Mobile Computing (IWCMC), 15-19 June 2020, Limassol, Cyprus (Online).

Abstract
This paper presents Adaptive VR (AVIRA), a scheme that implements a Virtual Reality (VR) content-aware prioritisation transport to extend Multipath TCP (MPTCP) functionalities and improve its performance. To do so, AVIRA monitors the subflows operation and forecasts subflows’ performance by applying an Machine Learning (ML) approach to evaluate a set of features - such as latency and throughput - for every subflow available. This ML approach forecasts the performance of these features through linear regression and applies a linear classifier by using a weighted sum on the forecast results. When the traffic of a specific VR component is detected, AVIRA performs its prioritisation scheme by redirecting packets to the subflow with the best set of forecasted features. AVIRA outperforms the algorithms used for comparison and shows that the use of an ML approach in a "low-level" application is viable, especially in situations where the network features under scrutiny are subject to higher variations. In these scenarios, the AVIRA scheme can be outstandingly efficient.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:multipath TCP; regression; virtual reality; network transport improvement; neural network;
Subjects:Computer Science > Computer networks
Computer Science > Machine learning
Engineering > Virtual reality
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
Research Initiatives and Centres > Lero: The Irish Software Engineering Research Centre
Published in: 2020 International Wireless Communications and Mobile Computing (IWCMC). . IEEE.
Publisher:IEEE
Official URL:https://dx.doi.org/10.1109/IWCMC48107.2020.9148293
Copyright Information:© 2020 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, Science Foundation Ireland grant 13/RC/2094, European Regional Development Fund through the Southern & Eastern Regional Operational Programme to Lero - the Irish Software Research Centre (www.lero.ie).
ID Code:25956
Deposited On:03 Jun 2021 12:58 by Fabio Silva . Last Modified 03 Jun 2021 12:58
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