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

Al-Jawad, Ahmed, Shah, Purav ORCID: https://orcid.org/0000-0002-0113-5690, Gemikonakli, Orhan ORCID: https://orcid.org/0000-0002-0513-1128 and Trestian, Ramona ORCID: https://orcid.org/0000-0003-3315-3081 (2018) LearnQoS: a learning approach for optimizing QoS over multimedia-based SDNs. 2018 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB). In: IEEE BMSB 2018, 06-08 June 2018, Valencia, Spain. ISBN 9781538647295. ISSN 2155-5052 [Conference or Workshop Item] (doi: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.

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