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A comprehensive analytical framework for VoD services in hybrid CDN-P2P systems

Video on Demand services generate the largest amount of traffic in networks nowadays. Previous works have proposed integrating Content Delivery Networks (CDN) and Peer-to-Peer (P2P) networks to satisfy this demand. However, their analytical methods do not consider all the factors that affect the per...

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Bibliographic Details
Published in:Journal of network and computer applications 2020-07, Vol.161, p.102643-17, Article 102643
Main Authors: Torres-Cruz, Noé, Rivero-Angeles, Mario E., Rubino, Gerardo, Menchaca-Mendez, Ricardo, Menchaca-Mendez, Rolando, Ramirez, David
Format: Article
Language:English
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Summary:Video on Demand services generate the largest amount of traffic in networks nowadays. Previous works have proposed integrating Content Delivery Networks (CDN) and Peer-to-Peer (P2P) networks to satisfy this demand. However, their analytical methods do not consider all the factors that affect the performance of these systems. Hence, we present a novel comprehensive framework, based on a fluid model, to evaluate VoD services over hybrid CDN-P2P systems. The proposed framework considers features of the service (e.g., size, coding-rate and popularity of the video), network attributes (e.g., upload data-rate capacity of servers and peers) and characteristics of the behavior of the users (e.g., sojourn time, cooperativeness and frequency of random-seeks). Our framework allows a system to be evaluated under a wide variety of scenarios in terms of network-cost and Quality-of-Service (QoS) parameters and is flexible enough to model different resource allocation schemes, including a novel scheme to distribute the upload network capacity. Despite the wide variety of considered factors, our framework is tractable and as accurate as discrete-models based on Markov chains. •VoD services over hybrid P2P-CDN systems are evaluated through fluid models and Markov chains.•The effects of arrivals, departures, video-file sharing, playing and VCR functions are analyzed.•The models permit evaluating multiple resource allocation schemes, including a novel proposal.•The system is evaluated in terms of network-costs (P2P network and CDN), and QoS parameters.•The developed framework is flexible enough to evaluate the system in a wide variety of scenarios.
ISSN:1084-8045
1095-8592
DOI:10.1016/j.jnca.2020.102643