LearnQoS: a learning approach for optimizing QoS over multimedia-based SDNs

Al-Jawad, Ahmed, Shah, Purav, Gemikonakli, Orhan ORCID: https://orcid.org/0000-0002-0513-1128 and Trestian, Ramona (2018) LearnQoS: a learning approach for optimizing QoS over multimedia-based SDNs. In: IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 06-08 June 2018, Valencia, Spain. (doi:https://doi.org/10.1109/BMSB.2018.8436781)

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Abstract

As video-based services become an integral part of the end-users’ lives, there is an imminent need for increase in the backhaul capacity and resource management efficiency to enable a highly enhanced multimedia experience to the endusers. The next-generation networking paradigm offers wide advantages over the traditional networks through simplifying the management layer, especially with the adoption of Software Defined Networks (SDN). However, enabling Quality of Service (QoS) provisioning still remains a challenge that needs to be optimized especially for multimedia-based applications. In this paper, we propose LearnQoS, an intelligent QoS management framework for multimedia-based SDNs. LearnQoS employs a policy-based network management (PBNM) to ensure the compliance of QoS requirements and optimizes the operation of PBNM through Reinforcement Learning (RL). The proposed LearnQoS framework is implemented and evaluated under an experimental setup environment and compared with the default SDN operation in terms of PSNR, MOS, throughput and packet loss.

Item Type: Conference or Workshop Item (Paper)
Research Areas: A. > School of Science and Technology > Design Engineering and Mathematics
Item ID: 24193
Notes on copyright: © 2018 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.
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Depositing User: Ramona Trestian
Date Deposited: 30 Apr 2018 11:03
Last Modified: 28 Aug 2019 16:25
URI: https://eprints.mdx.ac.uk/id/eprint/24193

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