Novasky: Cinematic-quality VoD in a P2P storage cloud

Liu, Fangming; Shen, Shijun; Li, Bo; Li, Baochun; Yin, Hao; Li, Sanli

doi:10.1109/infcom.2011.5935320

Cited by 35 publications

(21 citation statements)

References 14 publications

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“…These schemes incur significant processing and re-encoding overhead in the peer network and may lead to duplicated symbols, which decreases network efficiency. As receiving duplicated symbols affects stream continuity, the work in [20] discusses the design of for source-coded VoD to reduce duplicated symbols in the network. The objective of the work, together with the recent work on peer-to-peer VoD [21]- [24], is to fully utilize the uploading bandwidth of the peers.…”

Section: Related Workmentioning

confidence: 99%

Bucket-Filling: An Asymptotically Optimal Video-on-Demand Network With Source Coding

Chang

Chan

2015

IEEE Trans. Multimedia

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Abstract-There has recently been growing interest for content providers to provide video-on-demand (VoD) as a cloud service. In such a network, the content provider may rent heterogeneous resources (such as streaming and storage capacities) from geographically distributed data centers deployed close to user pools. These data centers (or proxy servers) collaboratively share content with each other to serve their local users. A critical challenge is to optimize movie storage and retrieval to minimize the deployment cost consisting of streaming, storage, and network transmission between data centers. We propose a novel and effective movie storage and retrieval using linear source coding. All the movies are source-encoded once at the repository, by taking every source symbols of movie to generate coded symbols. These coded symbols are then distributed to the servers in the cloud. Based on a general and comprehensive cost model, we optimize and the number of symbols to retrieve from remote servers for a local movie request. The optimal solution can be efficiently computed with a linear programming (LP) formulation. Our solution is proved to asymptotically approach the global minimum cost as increases. Even when is low, near optimality can be achieved. To accommodate large movie pool and system parameter changes, we propose algorithms for movie grouping and on-line re-optimization which significantly reduce the computational complexity with little compromise on optimality. Through extensive simulation, our algorithm is shown to achieve the lowest cost, outperforming traditional and state-of-the-art heuristics with a substantially wide margin.

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Section: Related Workmentioning

confidence: 99%

Bucket-Filling: An Asymptotically Optimal Video-on-Demand Network With Source Coding

Chang

Chan

2015

IEEE Trans. Multimedia

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“…Motivated by the observed benefits and design guidelines of using coding-aware peer storage strategy and proactive server push-to-peer strategy, we have developed a new cinematicquality VoD system, named Novasky [11], for both Linux and Windows platforms. It has been deployed and operational in the Tsinghua University campus network since September 2009 5 .…”

Section: A System Deployment and Trace Collectionmentioning

confidence: 99%

“…Following our design choices, we are able to implement, deploy, and measure a complete VoD system based on a P2P storage cloud over a high-bandwidth network, namely, Novasky [11]. Rather than typical emulation-based experiments, Novasky is a production-quality VoD system that we implemented with over 100,000 lines of code (LOC) in C++ from scratch to incorporate our proposed coding-aware peer storage replacement and proactive server push-to-peer strategy.…”

mentioning

confidence: 99%

Cinematic-Quality VoD in a P2P Storage Cloud: Design, Implementation and Measurements

Liu

Shen

et al. 2013

IEEE J. Select. Areas Commun.

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Abstract-In this paper, we explore the design space and practice of a new peer-to-peer (P2P) storage cloud, which is capable of replicating, refreshing and on-demand streaming of cinematic-quality video streams, in a decentralized fashion using local storage spaces of end users. We identify key design challenges and tradeoffs in such a P2P storage cloud, and how these are addressed by making informed design choices in a step-by-step fashion. Following our design choices, we have implemented a real-world Video-on-Demand (VoD) system with over 100,000 lines of code, called Novasky, which features new coding-aware peer storage replacement and server pushto-peer strategies, in order to maintain media availability and to balance the system-wide supply-demand relationship in the P2P storage cloud. Since September 2009, it has been deployed in the Tsinghua University campus network, attracting 10,000 users during our measurement studies from February to July 2010, and providing over 1,000 cinematic-quality video streams with bit rates of 1 -2 Mbps. Based on real-world traces collected over 6 months, we show that Novasky can achieve rapid startups within 4 -9 seconds and extremely short seek latencies within 3 seconds, while maintaining reasonable operational overhead and server bandwidth costs. Our general understanding on the design tradeoffs of P2P storage cloud and practical experiences with Novasky may bring valuable guidelines to future designs of production-quality P2P storage cloud systems.

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“…In this scenario, the capacities of VNs are large enough, and basic admission and peer selection policy are adopted. By (1)(2)(3)(4)(5), we can get the theoretical value of XI . We simulate the processes that the clients join and leave the system, measure the number of requests, and compare the simulation results with the theoretic results.…”

Section: A Simulationmentioning

confidence: 99%

“…For lowering demand delay, boosting throughput and reducing running cost, the P2P and CDN technologies are widely used in the streaming service systems [1][2][3]. With the fusion of the peer-to peer (P2P) technology and the content delivery network (CDN) technology, the streaming service system leads streaming service to move from central servers to the proxy servers that distributed on the edge of the Internet.…”

Section: Introductionmentioning

confidence: 99%

A novel dynamic model for streaming service system

Zhang

Yin

2013

2013 IEEE 4th International Conference on Software Engineering and Service Science

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As one of the most popular applications in the Internet, streaming service system has been studied in many approaches to analyze its operation and improve the quality of service (QoS). This paper proposes a novel dynamic model for the streaming service system based on various technologies, such as peer-to peer (P2P), content delivery network (CDN), P2P-CDN, etc. In the paper, we first present a virtual structure model for the streaming service system. By analyzing the novel state which is defined as the number of requests, this paper studies the factors that influences the state that is shown as the peer selection policy and the admission control policy. The model proposed in this paper shows the interactive process between client and local server, and the one between local server and other servers.Finally, some experiments are designed to validate the model.

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Novasky: Cinematic-quality VoD in a P2P storage cloud

Cited by 35 publications

References 14 publications

Bucket-Filling: An Asymptotically Optimal Video-on-Demand Network With Source Coding

Bucket-Filling: An Asymptotically Optimal Video-on-Demand Network With Source Coding

Cinematic-Quality VoD in a P2P Storage Cloud: Design, Implementation and Measurements

A novel dynamic model for streaming service system

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