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

Noé Torres-Cruz, Mario E. Rivero-Angeles, Gerardo Rubino, Ricardo Menchaca-Mendez, Rolando Menchaca-Mendez, David Ramirez

    Research output: Contribution to journalArticlepeer-review

    1 Scopus citations


    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.

    Original languageEnglish
    Article number102643
    JournalJournal of Network and Computer Applications
    StatePublished - 1 Jul 2020


    • Fluid model
    • GPWA
    • Hybrid CDN-P2P system
    • Markov-chain model
    • Resource allocation schemes
    • Video on demand
    • Video streaming

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