Understanding the Power of Smartrouter-Based Peer CDN for Video Streaming

Ma, Ming; Wang, Zhi; Su, Ke; Sun, Lifeng

doi:10.1109/icccn.2016.7568594

Cited by 6 publications

(2 citation statements)

References 27 publications

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“…Our previous work [11] present the detailed system analysis, such as the transport protocols, peer selection strategy and QoS performance. In this paper, we focus on the content placement strategies and its limitations of the real-world smartrouterbased peer video CDN system.…”

Section: Related Workmentioning

confidence: 99%

Understanding content placement strategies in smartrouter-based peer video CDN

Wang

et al. 2016

Proceedings of the 26th International Workshop on Network and Operating Systems Support for Digital Audio and Video

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Recent years have witnessed a new video delivery paradigm: smartrouter-based peer video content delivery network, which is enabled by smartrouters deployed at users' homes. ChinaCache (one of the largest CDN providers in China) and Youku (a video provider using smartrouters to assist video delivery) announced their cooperation in 2015, to create a new paradigm of content delivery based on householders' network resources [2]. This new paradigm is different from the conventional peer-to-peer (P2P) approach, because millions of dedicated smartrouters are operated by the centralized video service providers in a coordinative manner. Thus it is intriguing to study the content placement strategies used in a smartrouterbased content delivery system, as well as its potential impact on the content delivery ecosystem. In this paper, we carry out measurement studies of Youku's peer video CDN, who has deployed over 300K smartrouter devices for its video delivery. In our measurement studies, 104K videos were investigated and 4TB traffic has been analyzed, over controlled smartrouter nodes and players. Our measurement insights are as follows. First, a global content replication strategy is essential for the peer CDN systems. Second, such peer CDN deployment itself can form an effective sub-system for end-to-end QoS monitoring, which can be used for fine-grained request redirection (e.g., userlevel) and content replication. We also show our analysis on the performance limitations and propose potential improvements to the peer CDN systems.

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Section: Related Workmentioning

confidence: 99%

Understanding content placement strategies in smartrouter-based peer video CDN

Wang

et al. 2016

Proceedings of the 26th International Workshop on Network and Operating Systems Support for Digital Audio and Video

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“…• Leveraging the availability of a couple of resources as video streaming mirror servers to address the excellent degradation that could be caused by the visitors congestion at server side. [17] • Adjusting the DASH ABR rules to address the channel diversity. This journal is prepared as follows.…”

Section: Introductionmentioning

confidence: 99%

Multi-armed bandit algorithms over DASH for multihomed client

Hodroj¹,

Ibrahim²,

Hadjadj‐Aoul³

et al. 2021

IJSNET

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There is an expanding request from the mobile clients of video traffic which has come to over the most recent two years the greater part of all the mobile data traffic. The challenge of providing the clients excellent video streaming is expected principally to the constrained transfer speed which makes it important to misuse the rising decent variety of mobile video spilling and get to systems. For enhancing the video quality received by "multi-homed client" (i.e., clients with multiple network interfaces), a network selection algorithm based on the Multi-Armed Bandit heuristic is proposed on top of the most broadly utilized standard for video streaming Dynamic Adaptive Streaming over HTTP (DASH). For choosing the best network at each progression powerfully, DASH gives mobile video quality dependent on the apparent exhibition from the pre-owned system association through the Adaptive Bitrate Rules (ABR) without investigating the system conditions through the other network(s) which could give better quality. Subsequently, a few alterations for DASH ABR is required to enhance the video quality. Two of the MAB algorithms (UCB and Epsilon Greedy) were embraced for improving MPEG-Dash. The investigations are performed through a proving ground execution to show that UCB surpasses Epsilon Greedy, in stable system conditions, regarding goodput received by the Dash customer. Additionally, UCB can discover the harmony between investigating new choices, and abusing the triumphant variation.

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