Assessing the efficiency of stream reuse techniques in P2P video-on-demand systems

Pinho, Leonardo Bidese de; Amorim, Cláudio Luis de

doi:10.1016/j.jnca.2004.10.009

Cited by 11 publications

(2 citation statements)

References 18 publications

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“…In [20], conventional batching is modified by providing a mechanism called "Distributed Peer-to-Peer Batching" (DPPB), which disperses the duty of multicast delivery from the central server to a number of high-end peers, which have a higher storage and bandwidth capacity than normal peers. In addition to the improvements in stream reuse techniques, [21] utilizes the combination of batching, chaining and patching to deliver popular videos with low start up latency while using the smallest number of server channels.…”

Section: Reducing Server Stress Due To Asynchronous Arrivalmentioning

confidence: 99%

P2P-VoD Streaming:

Ghosh

Rajan

Pandey

2014

Advanced Computing, Networking and Informatics- Volume 2

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Abstract. Peer-to-Peer based Video-on-Demand (P2P-VoD) applications are becoming very popular for scalable video distribution in both academic and commercial environments. Asynchronous arrival of peers who wish to watch videos from beginning, as well as willing to avail interactive services like jump, rewind, fast-forward etc. in these systems makes it challenging to design and deploy them. A lot of research has already been done on the architectural design issues of P2P-VoD systems. In this paper, we present a survey on approaches which address some existing design issues like alleviating the server stress due to asynchrony, building efficient P2P-VoD applications with interactive services and handling peer churn as well as the time-varying nature of network. In addition to these issues, we also discuss the challenges in deployment of P2P-based VoD systems with additional user experience features like on-demand watching of segmented scenes, on-the-fly creation of playlists etc. over best-effort Internet.

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Section: Reducing Server Stress Due To Asynchronous Arrivalmentioning

confidence: 99%

P2P-VoD Streaming:

Ghosh

Rajan

Pandey

2014

Advanced Computing, Networking and Informatics- Volume 2

View full text Add to dashboard Cite

show abstract

“…There are also some schemes proposed with IP multicast for True Video on Demand (TVOD), in which users have full freedom in VCR interactivities [10], [13], [14], [15]. Due to the difficulty of deploying IP multicast, however, many schemes are extended to adopt ALM [8], [9], [16], [17].…”

Section: Related Workmentioning

confidence: 99%

VOVO: VCR-Oriented Video-on-Demand in Large-Scale Peer-to-Peer Networks

Liu

2009

IEEE Trans. Parallel Distrib. Syst.

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Abstract-Most P2P Video-on-Demand (VOD) schemes focus more on mending service architectures and optimizing overlays but do not carefully consider the user behavior and the benefit of prefetching strategies. As a result, they cannot better support VCR-oriented services in terms of substantive asynchronous clients or free VCR controls for P2P VODs. To address this issue, we propose VOVO, a VCR-oriented VOD for large-scale P2P networks. By mining associations inside each video, the segments requested in VCR interactivities are predicted based on the information collected through gossips. Together with a hybrid caching strategy, a collaborative prefetching scheme is designed to optimize resource distribution among neighboring peers. We evaluate VOVO through extensive experiments. Results show that VOVO is scalable and effective, providing short start-up latencies and good performance in VCR interactivities.

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Building Scalable Wireless VoD Systems Through Efficient Management of Collocated Access Points

Pinho

Amorim

2007

J Netw Syst Manage

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Assessing the efficiency of stream reuse techniques in P2P video-on-demand systems

Cited by 11 publications

References 18 publications

P2P-VoD Streaming:

P2P-VoD Streaming:

VOVO: VCR-Oriented Video-on-Demand in Large-Scale Peer-to-Peer Networks

Building Scalable Wireless VoD Systems Through Efficient Management of Collocated Access Points

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