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COOCHING: Cooperative Prefetching Strategy for P2P Video-on-Demand System

TLDR
A cooperative prefetching strategy namely "COOCHING" is proposed, where the segments requested in VCR interactivities are prefetched into session beforehand using the information collected through gossips.
Abstract
Most P2P VoD schemes focused on service architectures and overlays optimization without considering segments rarity and the performance of prefetching strategies As a result, they cannot better support VCR-oriented services Despite the remarkable popularity in VoD systems, there exists no prior work that studies the performance gap between different prefetching strategies In this paper we analyze and understand the performance of different prefetching strategies Our analytical characterization brings us not only a better understanding of several fundamental tradeoffs in prefetching strategies, but also important insights on the design of P2P VoD system On the basis of this analysis, we finally proposed a cooperative prefetching strategy namely "COOCHING"In this strategy, the segments requested in VCR interactivities are prefetched into session beforehand using the information collected through gossips

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Citations
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Journal ArticleDOI

Zebroid: using IPTV data to support STB-assisted VoD content delivery

TL;DR: The current research work on Zebroid is described, a potential VoD solution for fiber-to-the-node (FTTN) networks, which uses IPTV data on a recurring basis to determine how to select, stripe, and preposition popular content in selected STBs during idle hours.
Proceedings ArticleDOI

Zebroid: using IPTV data to support peer-assisted VoD content delivery

TL;DR: Zebroid is described, a VoD solution that uses IPTV operational data on an on-going basis to determine how to pre-position popular contents in customer set-top boxes during idle hours to allow these peers to assist the VoD server in content delivery during peak hours.
Proceedings ArticleDOI

Differentiated chunk scheduling for P2P Video-on-Demand system

TL;DR: This paper proposes a queue based chunk scheduling mechanism followed by a bandwidth distribution algorithm for urgent downloading and prefetching that allows the maximum utilization of upload bandwidth by distributing the available upload bandwidth among different queues.

Statistically Quality Assured Streaming Architecture For Dynamic Peer To Peer Networks

A. Rajesh, +1 more
TL;DR: This work proposes a shared or distributed overlay framework (called SMesh or subset mesh) for dynamic groups where users may frequently hop between different groups, and focuses on providing statistically guaranteed streaming quality at channel level and individual peer level.
References
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Proceedings ArticleDOI

Understanding user behavior in large-scale video-on-demand systems

TL;DR: This study focuses on user behavior, content access patterns, and their implications on the design of multimedia streaming systems, and introduces a modified Poisson distribution that more accurately models the observations.
Proceedings ArticleDOI

Can internet video-on-demand be profitable?

TL;DR: It is shown that peer-assistance can dramatically reduce server bandwidth costs, particularly if peers prefetch content when there is spare upload capacity in the system and many of the critical features of peer-assisted VoD, including its operational modes are developed.
Proceedings ArticleDOI

P2Cast: peer-to-peer patching scheme for VoD service

TL;DR: This paper proposes P2Cast - an architecture that uses a peer-to-peer approach to cooperatively stream video using patching techniques, while only relying on unicast connections among peers.
Proceedings ArticleDOI

Distributed prefetching scheme for random seek support in peer-to-peer streaming applications

TL;DR: This work extracts a user viewing pattern that indicates that random seek is a pervasive phenomenon, contrary to the common assumptions that users would watch a video session sequentially and passively in most works on peer-to-peer streaming, and proposes an optimal prefetching scheduling algorithm based on the optimal scalar quantization theory.
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