TY - JOUR
T1 - A comprehensive analytical framework for VoD services in hybrid CDN-P2P systems
AU - Torres-Cruz, Noé
AU - Rivero-Angeles, Mario E.
AU - Rubino, Gerardo
AU - Menchaca-Mendez, Ricardo
AU - Menchaca-Mendez, Rolando
AU - Ramirez, David
N1 - Publisher Copyright:
© 2020 Elsevier Ltd
PY - 2020/7/1
Y1 - 2020/7/1
N2 - 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.
AB - 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.
KW - Fluid model
KW - GPWA
KW - Hybrid CDN-P2P system
KW - Markov-chain model
KW - Resource allocation schemes
KW - Video on demand
KW - Video streaming
UR - http://www.scopus.com/inward/record.url?scp=85083037610&partnerID=8YFLogxK
U2 - 10.1016/j.jnca.2020.102643
DO - 10.1016/j.jnca.2020.102643
M3 - Artículo
SN - 1084-8045
VL - 161
JO - Journal of Network and Computer Applications
JF - Journal of Network and Computer Applications
M1 - 102643
ER -