An Optimization Framework for QoS-Enabled Adaptive Video Streaming Over OpenFlow Networks

Egilmez, Hilmi E.; Civanlar, S.; Tekalp, A.M.

doi:10.1109/tmm.2012.2232645

Cited by 193 publications

(123 citation statements)

References 23 publications

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“…The work [15], proposes a traffic engineering algorithm that focuses on improving data center network utilization. In [16][17][18][19], the authors reroute video flows in order to minimize delay and packet loss of total traffic. They guarantee that the end-to-end delay of each flow is less than a predefined threshold.…”

Section: Related Workmentioning

confidence: 99%

Joint QoS and Congestion Control Based on Traffic Prediction in SDN

et al. 2017

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Due to the various network requirements of applications, quality of service (QoS)-aware routing plays an important role in the networks. Recently proposed resource allocation algorithms focus on the current traffic matrix, which is not applicable for dynamic networks. In this paper, we exploit an estimation of flow matrix that gives our scheme the ability to sufficiently reduce the total packet loss and simultaneously raise the network throughput. In this way, we mathematically formulate the QoS-aware resource reallocation in software-defined networking (SDN) networks based on the traffic prediction. To solve this optimization problem, two schemes are proposed: (i) exact solution; and (ii) fast suboptimal one. The proposed schemes are compared with the accuracy perspective. Moreover, the impact of prediction on resource reallocation is discussed. In this regard, it is shown that, compared with the conventional scheme, the proposed scheme decreases the packet loss and increases the throughput significantly.

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Section: Related Workmentioning

confidence: 99%

Joint QoS and Congestion Control Based on Traffic Prediction in SDN

et al. 2017

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“…The use of an OpenFlow controller to optimize the behavior of the HAS clients has been studied by Egilmez et al [4]. They propose to dynamically re-route HAS traffic to avoid congested links.…”

Section: Related Workmentioning

confidence: 99%

Live streaming of 4K ultra-high definition video over the internet

Petrangeli

Hooft

Wauters

et al. 2016

Proceedings of the 7th International Conference on Multimedia Systems

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HTTP Adaptive Streaming (HAS) is the de facto standard for video streaming services over the Internet. In HAS, each video is temporally segmented and stored in different qualities. The client selects the quality level for every video segment based on network conditions, allowing a smooth playback with the best possible Quality of Experience (QoE). Although results are promising, current solutions suffer from two problems. First, a low quality and large end-to-end latency are often observed in live streaming scenarios. Second, freezes in the video playout may occur in case of sudden drops of the available bandwidth. We reduced these issues using two complementary approaches. First, we reduced the live latency using the new HTTP/2 server push in combination with super-short segments. Second, we designed an OpenFlow-based network controller that prioritizes the delivery of particular segments to avoid freezes at the clients. The proof-of-concept shows the results obtained when two clients stream a video under varying network conditions. By monitoring the clients' behavior, it is possible to understand the gains brought by the proposed approaches. Particularly, we demonstrate how our solutions consistently reduce the live latency in high round-trip time networks and video freezes caused by network congestion. These results represent a major improvement for the QoE of the final users.

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“…Besides sending base layer video packets over lossless path, forwarding enhancement layer packets over another path is proposed in [20]. The flow routes of base and enhancement layers packets are determined according to the output of an optimization model by considering packet loss and delay variation [21]. Quality adaptation techniques and flow route decisions considering the quality adaptation are not briefly discussed in these studies.…”

Section: Related Workmentioning

confidence: 99%

An SDN-assisted System Design for Improving performance of SVC-DASH

Çetinkaya¹,

Özveren²,

Sayıt³

2015

Annals of Computer Science and Information Systems

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Abstract-Today, the most of the video streaming system provides quality adaptation and prefers to send their packets over HTTP. MPEG group has standardized Dynamic Adaptive HTTP Streaming (DASH) regarding this tendency on the adaptive HTTP streaming. Besides providing quality adaptation with a non-scalable codec, DASH standard also allows Scalable Video Coding (SVC) to adapt quality. Software Defined Networks (SDN) is a recently emerged networking paradigm. SDN enables to separate control and data plane of computer networks and hence provides flexibility to network operators to implement their own routing approaches. In this paper, we propose a system for increasing Quality of Experience (QoE) of SVC-DASH clients by utilizing SDN. Our experimental results show that the proposed system provides an increase in received video quality and decrease in outage duration and startup delay when compared to the performance of the client running over todays Internet implementing shortest path routing.

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An Optimization Framework for QoS-Enabled Adaptive Video Streaming Over OpenFlow Networks

Cited by 193 publications

References 23 publications

Joint QoS and Congestion Control Based on Traffic Prediction in SDN

Joint QoS and Congestion Control Based on Traffic Prediction in SDN

Live streaming of 4K ultra-high definition video over the internet

An SDN-assisted System Design for Improving performance of SVC-DASH

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