An Efficient QoE-Aware HTTP Adaptive Streaming over Software Defined Networking
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An Efficient QoE-Aware HTTP Adaptive Streaming over Software Defined Networking Pham Hong Thinh1,2 · Nguyen Thanh Dat1 · Pham Ngoc Nam3 · Nguyen Huu Thanh1 · Hien M. Nguyen4 · Truong Thu Huong1
© Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract Due to the increase in video streaming traffic over the Internet, more innovative methods are in demand for improving both Quality of Experience (QoE) of users and Quality of Service (QoS) of providers. In recent years, HTTP Adaptive Streaming (HAS) has received significant attention from both industry and academia based on its impacts on the enhancement of media streaming services. However, HAS-alone cannot guarantee a seamless viewing experience, since this highly relies on the Network Operators’ infrastructure and evolving network conditions. Along with the development of future Internet infrastructure, Software-Defined Networking (SDN) has been researched and newly implemented as a promising solution in improving services of different Internet layers. In this paper, we present a novel architecture incorporating bitrate adaptation and dynamic route allocation. At the client side, adaptation logic of VBR videos streaming is built based on the MPEGDASH standard. On the network side, an SDN controller is implemented with several routing strategies on top of the OpenFlow protocol. Our experimental results show that the proposed solution enhances at least 38% up to 185% in term of average bitrate in comparison with some existing solutions as well as achieves better viewing experience than the traditional Internet. Keywords Dynamic routing · Adaptive streaming · SDN · DASH
1 Introduction The last decade has witnessed a tremendous escalation of media content consumption, especially high-definition videos over the Internet. Cisco forecasts that the global Internet traffic in 2021 will equivalent to 127 times of that of the year 2005. In 2017, among the services over the Internet such as web, email, file sharing, etc., video streaming takes part in more than 74% of the global Internet traffic and will
This paper has been accepted in part to the INISCOM conference 2019 - 5th EAI International Conference on Industrial Networks and Intelligent Systems. Truong Thu Huong
[email protected] 1
Hanoi University of Science and Technology, Hanoi, Vietnam
2
Quy Nhon University, Binhdinh, Vietnam
3
College of Engineering and Computer Science, VinUniversity, Hanoi, Vietnam
4
Duy Tan University, Danang, Vietnam
continue to rise over 81% by 2021 [1]. Those numbers figures show the necessity of developing methods in optimization of video streaming over the Internet that satisfy both efficiency for service providers and the quality for users. In that context, one technology has become the de facto standard for Internet streaming: HTTP-Based Adaptive Streaming (HAS) [2]. Using HTTP HAS is leveraging a ubiquitous and highly optimized delivery infrastructure, originally created for the web traffic, which includes, e.g., Content Delivery Networks (CDNs),
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