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Performance Analysis of Hybrid Distribution in Human-Centric Multimedia Networking

机译：以人为中心的多媒体网络中混合分发的性能分析

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摘要

With the booming of Human-centric multimedia networking (HMN), there are rising amount of human-made multimedia that needs to distribute to consumers with higher speed and efficiency. Hybrid distribution of Client/Server (C/S) and Peer-to-Peer (P2P) have been successfully deployed on the Internet and the practical benefits have been widely reported, while its theoretical performance remains unknown for mass data delivery unfortunately. This paper presents an analytical and experimental study on the performance of accelerating large-scale hybrid distribution over the Internet. In particular, this paper focuses on the user behavior in HMN and establishes a user behavior model based on the Kermack-McKendrick model in epidemiology. Analytical expressions of average delay in HMN are then derived based on C/S, P2P and hybrid distribution, respectively. Our simulation shows how to design and deploy a hybrid distribution system of HMN that helps to bridge the gap between system ultilization and quality of service, which provides direct guidance for practical system design.
机译：随着以人为中心的多媒体网络（HMN）的蓬勃发展，越来越多的人造多媒体需要以更高的速度和效率分配给消费者。客户端/服务器（C / S）和对等（P2P）的混合分发已成功部署在Internet上，并且已广泛报道了实际好处，但不幸的是，其理论性能仍无法用于海量数据传递。本文对加速Internet上大规模混合分发的性能进行了分析和实验研究。特别是，本文重点研究了HMN中的用户行为，并基于流行病学中的Kermack-McKendrick模型建立了用户行为模型。然后分别基于C / S，P2P和混合分布推导HMN中平均延迟的解析表达式。我们的仿真显示了如何设计和部署HMN的混合分发系统，该系统有助于弥合系统利用率和服务质量之间的差距，这为实际系统设计提供了直接指导。

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