An innovative reinforcement learning-based framework for quality of service provisioning over multimedia-based SDN environments
Article
Al-Jawad, A., Comsa, I., Shah, P., Gemikonakli, O. and Trestian, R. 2021. An innovative reinforcement learning-based framework for quality of service provisioning over multimedia-based SDN environments. IEEE Transactions on Broadcasting. 67 (4), pp. 851-867. https://doi.org/10.1109/TBC.2021.3099728
Type | Article |
---|---|
Title | An innovative reinforcement learning-based framework for quality of service provisioning over multimedia-based SDN environments |
Authors | Al-Jawad, A., Comsa, I., Shah, P., Gemikonakli, O. and Trestian, R. |
Abstract | Within the current global context, the coronavirus pandemic has led to an unprecedented surge in the Internet traffic, with most of the traffic represented by video. The improved wired and guided network infrastructure along with the emerging 5G networks enables the provisioning of increased bandwidth support while the virtualization introduced by the integration of Software Defined Networks (SDN) enables traffic management and remote orchestration of networking devices. However, the popularity and variety of multimediarich applications along with the increased number of users has led to an ever increasing pressure that these multimedia-rich content applications are placing on the underlying networks. |
Keywords | Routing; Quality of service; Heuristic algorithms; Quality of experience; Internet; Bandwidth; Topology; Multimedia; QoE; QoS; reinforcement learning; routing algorithms; SDN |
Publisher | IEEE |
Journal | IEEE Transactions on Broadcasting |
ISSN | 0018-9316 |
Electronic | 1557-9611 |
Publication dates | |
Online | 09 Aug 2021 |
31 Dec 2021 | |
Publication process dates | |
Deposited | 16 Jul 2021 |
Accepted | 14 Jul 2021 |
Output status | Published |
Accepted author manuscript | |
Copyright Statement | © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works |
Digital Object Identifier (DOI) | https://doi.org/10.1109/TBC.2021.3099728 |
Web of Science identifier | WOS:000728137100009 |
Language | English |
https://repository.mdx.ac.uk/item/896wz
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