Understanding content placement strategies in smartrouter-based peer video CDN

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

doi:10.1145/2910642.2910649

Cited by 20 publications

(8 citation statements)

References 18 publications

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“…Chen 等 [62] 利用分散在用户家庭的智能路由器的闲散带宽资源和存储资源, 开发出基于众包的内容分发模式, 并通过实际部署测量该系统的性能. Ma 等 [63] 从逆向工程的角度, 通过大规模的数据测量分析, 推断优酷利用路由宝进行内容分发时所采用的内容放置以及资源调度策略. Zhang 等 [29] 提出在网络中间协同缓存策略, 缓存算法基于底层的网络拓扑以及对等网络节点特性决策是否缓存, 实现减少内容重复缓存的目的.…”

Section: 多媒体内容分发中计算与网络资源优化unclassified

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Data-driven multimedia edge network and content delivery

朱文武¹,

王智²

2021

Sci. Sin.-Inf.

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Section: 多媒体内容分发中计算与网络资源优化unclassified

“…内容部署开销. 在边缘视频 CDN 中, 大量的内容热点将带来大量边缘缓存空间的租用成本, 并且对 CDN 服务器产生了不可忽略的压力 [63,86] . 因此, 内容部署开销也是一个重要因素, 计算如下:…”

Section: 本文在用户重定向问题中考虑最小化内容访问延迟和内容部署开销unclassified

Data-driven multimedia edge network and content delivery

朱文武¹,

王智²

2021

Sci. Sin.-Inf.

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“…Hu et al [22] proposed a Voronoilike partition algorithm to take both the geo-distribution of users' request and Wi-Fi APs into account and conducted the replication in a server peak offloading manner. Ma et al [23] conducted extensive measurement studies on the content placement strategies of the emerging smart router-based peer video content delivery network in China. Jayasundara et al [24] proposed to improve the scalability of video-ondemand systems by placing the video content at the end-users' devices.…”

Section: A Edge-resource Assisted Content Deliverymentioning

confidence: 99%

Toward Wi-Fi AP-Assisted Content Prefetching for an On-Demand TV Series: A Learning-Based Approach

Jin

Wen

et al. 2018

IEEE Trans. Circuits Syst. Video Technol.

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The emergence of smart Wi-Fi APs (Access Point), which are equipped with huge storage space, opens a new research area on how to utilize these resources at the edge network to improve users' quality of experience (QoE) (e.g., a short startup delay and smooth playback). One important research interest in this area is content prefetching, which predicts and accurately fetches contents ahead of users' requests to shift the traffic away during peak periods. However, in practice, the different video watching patterns among users, and the varying network connection status lead to the time-varying server load, which eventually makes the content prefetching problem challenging. To understand this challenge, this paper first performs a large-scale measurement study on users' AP connection and TV series watching patterns using real-traces. Then, based on the obtained insights, we formulate the content prefetching problem as a Markov Decision Process (MDP). The objective is to strike a balance between the increased prefetching&storage cost incurred by incorrect prediction and the reduced content download delay because of successful prediction. A learning-based approach is proposed to solve this problem and another three algorithms are adopted as baselines. In particular, first, we investigate the performance lower bound by using a random algorithm, and the upper bound by using an ideal offline approach. Then, we present a heuristic algorithm as another baseline. Finally, we design a reinforcement learning algorithm that is more practical to work in the online manner. Through extensive trace-based experiments, we demonstrate the performance gain of our design. Remarkably, our learning-based algorithm achieves a better precision and hit ratio (e.g., 80%) with about 70% (resp. 50%) cost saving compared to the random (resp. heuristic) algorithm.Index Terms-Wi-Fi AP, content prefetching, learning-based approach.

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“…Their content scheduling strategy is very simple, i.e., push 80TB traffic per day based on the file popularity in last day. [28] is our previous work about the content replication strategies used by the Youku peer CDN, which does not involve the detailed system analysis, such as the transport protocols, peer selection strategy and QoS performance.…”

Section: B Peer Cdn Systemmentioning

confidence: 99%

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

Wang²,

et al. 2016

2016 25th International Conference on Computer Communication and Networks (ICCCN)

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Recent years have witnessed a new video delivery paradigm: smartrouter-based video delivery network, which is enabled by smartrouters deployed at users' homes, together with the conventional video servers deployed in the datacenters. Recently, ChinaCache, a large content delivery network (CDN) provider, and Youku, a video service provider using smartrouters to assist video delivery, announced their cooperation to create a new paradigm of content delivery based on householders' network resources [1]. This new paradigm is different from the conventional peer-to-peer (P2P) approach, because such dedicated smartrouters are inherently operated by the centralized video service providers in a coordinative manner. It is intriguing to study the strategies, performance and potential impact on the content delivery ecosystem of such peer CDN systems. In this paper, we study the Youku peer CDN, which has deployed over 300K smartrouter devices for its video streaming. In our measurement, 78K videos were investigated and 3TB traffic has been analyzed, over controlled routers and players. Our contributions are the following measurement insights. First, a global replication and caching strategy is essential for the peer CDN systems, and proactively scheduling replication and caching on a daily basis can guarantee their performance. Second, such peer CDN deployment can itself form an effective Quality of Service (QoS) monitoring sub-system, which can be used for finegrained user request redirection. We also provide our analysis on the performance issues and potential improvements to the peer CDN systems.

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Understanding content placement strategies in smartrouter-based peer video CDN

Cited by 20 publications

References 18 publications

Data-driven multimedia edge network and content delivery

Data-driven multimedia edge network and content delivery

Toward Wi-Fi AP-Assisted Content Prefetching for an On-Demand TV Series: A Learning-Based Approach

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

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