SDNHAS: An SDN-Enabled Architecture to Optimize QoE in HTTP Adaptive Streaming

Bentaleb, Abdelhak; Begen, Ali C.; Zimmermann, Roger; Harous, Saad

doi:10.1109/tmm.2017.2733344

Cited by 96 publications

(68 citation statements)

References 33 publications

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“…Multimedia streaming services by OTTP are using HTTP adaptive video streaming based on the MPEG-DASH standard introduced in section III-A. While the MPEG-DASH standard can provide excellent video quality to the end-users, there are some issues when multiple clients are competing for the shared limited resources leading to QoE unfairness, video instability and under-utilization of the network resources [105], [106]. To overcome these challenges, the MPEG-SAND standard has been proposed recently with the aim to enhance the delivery of DASH contents, thanks to its ability to provide information of the network, servers, and the streaming DASH clients in real-time.…”

Section: Discussionmentioning

confidence: 99%

“…This way, the number and duration of stalling (interruption of playback due to empty playout buffers) could be decreased and the available bandwidth is best possibly utilized [6]. The success of HAS can be attributed to these benefits compared to the traditional [106]. These problems remain a serious concern for video content providers and network operators, and they are even more aggravated in the case of heterogeneous environments.…”

Section: A Http Adaptive Streaming (Has) Solutionsmentioning

confidence: 99%

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QoE Management of Multimedia Streaming Services in Future Networks: A Tutorial and Survey

Barakabitze

Barman

Ahmad

et al. 2020

IEEE Commun. Surv. Tutorials

168

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The highly demanding Over-The-Top (OTT) multimedia applications pose increased challenges to Internet Service Providers (ISPs) for assuring a reasonable Quality of Experience (QoE) to their customers due to lack of flexibility, agility and scalability in traditional networks. The future networks are shifting towards the cloudification of the network resources via Software Defined Networks (SDN) and Network Function Virtualization (NFV). This will equip ISPs with cutting-edge technologies to provide service customization during service delivery and offer QoE which meets customers' needs via intelligent QoE control and management approaches. Towards this end, we provide in this paper a tutorial and a comprehensive survey of QoE management solutions in current and future networks. We start with a highlevel description of QoE management for multimedia services, which integrates QoE modelling, monitoring, and optimization. This followed by a discussion of HTTP Adaptive Streaming (HAS) solutions as the dominant technique for streaming videos over the best-effort Internet. We then summarize the key elements in SDN/NFV along with an overview of ongoing research projects, standardization activities and use cases related to SDN, NFV, and other emerging applications. We provide a survey of the state-of-the-art of QoE management techniques categorized into three different groups: a) QoE-aware/driven strategies using SDN and/or NFV; b) QoE-aware/driven approaches for adaptive streaming over emerging architectures such as multi-access edge computing, cloud/fog computing, and information-centric networking; and c) extended QoE management approaches in new domains such as immersive augmented and virtual reality, mulsemedia and video gaming applications. Based on the review, we present a list of identified future QoE management challenges regarding emerging multimedia applications, network management and orchestration, network slicing and collaborative service management in softwarized networks. Finally, we provide a discussion on future research directions with a focus on emerging research areas in QoE management, such as QoEoriented business models, QoE-based big data strategies, and scalability issues in QoE optimization.

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Section: Discussionmentioning

confidence: 99%

Section: A Http Adaptive Streaming (Has) Solutionsmentioning

confidence: 99%

QoE Management of Multimedia Streaming Services in Future Networks: A Tutorial and Survey

Barakabitze

Barman

Ahmad

et al. 2020

IEEE Commun. Surv. Tutorials

168

View full text Add to dashboard Cite

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“…However, their deployment increased the network overhead. SDNHAS [22], an improved version of the method in [21], presents an elegant solution that combines multi-layer optimization based on user categories. However, they all are still constrained by simply relying on HTTP over TCP at the transport layer.…”

Section: Tcp-based Sdn Solutions For Dashmentioning

confidence: 99%

“…The mapping process from a user HTTP request to a path is shown in the dotted region in Figure 2. One of the most essential processes is the calculation of the user category, which can be done using various approaches, from advanced Machine Learning (ML) or other Artificial Intelligence (AI) as done by Bentaleb et al [22], to other optimization heuristics as done by Herguner et al [23]. However, for simplicity, in the current implementation, we attach this value as a parameter on the User Profile, leaving a more elaborate selection process as future work.…”

Section: An Overview Of Sand/3mentioning

confidence: 99%

“…The priority level was different for each user; for simplicity, we numbered the priorities in ascending order so that high-, medium-, and low-priority would map to 0, 1, and 2, respectively. Note that, in the current implementation, these values were set statically in the user profile; a more comprehensive solution would require, for instance, a classification based on all the parameters, as done by Bentaleb et al [22]. The experiment was conducted as follows.…”

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confidence: 99%

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SAND/3: SDN-Assisted Novel QoE Control Method for Dynamic Adaptive Streaming over HTTP/3

et al. 2019

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Dynamic Adaptive Streaming over HTTP (DASH) is a widely used standard for video content delivery. Video traffic, most of which is generated from mobile devices, is shortly to become the most significant part of Internet traffic. Current DASH solutions only consider either client-or server-side optimization, leaving other components in DASH (e.g., at the transport layer) to default solutions that cause a performance bottleneck. In that regard, although it is assumed that HTTP must be necessarily transported on top of TCP, with the latest introduction of HTTP/3, it is time to re-evaluate its effects on DASH. The most substantial change in HTTP/3 is having Quick UDP Internet Connections (QUIC) as its primary underlying transport protocol. However, little is still know about the effects on standard DASH client-based adaption algorithms when exposed to the future HTTP/3. In this paper, we present SAND/3, an SDN (Software Defined Networking)-based Quality of Experience (QoE) control method for DASH over HTTP/3. Since the official deployment of HTTP/3 has not been released yet, we used the current implementation of Google QUIC. Preliminary results show that, by applying SAND/3, which combines information from different layers orchestrated by SDN to select the best QoE, we can obtain steadier media throughput, reduce the number of quality shifts in at least 40%, increase the amount downloaded content at least 20%, and minimize video interruptions compared to the current implementations regardless of the client adaption algorithm.

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Multimedia Streaming Services Over the Internet

2022

Multimedia Streaming in SDN/NFV and 5G Networks

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SDNHAS: An SDN-Enabled Architecture to Optimize QoE in HTTP Adaptive Streaming

Cited by 96 publications

References 33 publications

QoE Management of Multimedia Streaming Services in Future Networks: A Tutorial and Survey

QoE Management of Multimedia Streaming Services in Future Networks: A Tutorial and Survey

SAND/3: SDN-Assisted Novel QoE Control Method for Dynamic Adaptive Streaming over HTTP/3

Multimedia Streaming Services Over the Internet

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