优化带宽分配,最大限度地提高混合云P2P内容分发中用户的QoE

Q4 Computer Science
Zhang Yi, Guo Yuchun, Chen Yishuai
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引用次数: 3

摘要

混合云对等(P2P)系统通过利用用户的能力来缓解云带宽压力,被广泛用于内容分发。然而,随着对大尺寸文件的需求快速增长,在这样的系统中,在有限的云带宽资源下,在不同的集群中同时支持高速下载体验是一个挑战。因此,需要优化云带宽分配,以提高用户的整体下载体验。在本文中,我们提出了一个系统性能模型,该模型描述了云上传带宽和用户下载速度之间的关系。基于该模型,我们研究了云上传带宽的分配,目的是优化用户的体验质量(QoE),这主要取决于所需内容的下载率。此外,为了降低计算复杂度,我们提出了一种启发式算法来逼近优化解。仿真结果表明,与两种典型的带宽分配算法相比,我们的启发式算法可以获得更高的用户QoE。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimized bandwidth allocation for maximizing user's QoE in hybrid cloud P2P content distribution

Hybrid cloud peer to peer (P2P) system is widely used for content distribution by utilizing user's capabilities to relieve the cloud bandwidth pressure. However, as demands for large-size files grow rapidly, it is a challenge to support high speed downloading experience simultaneously in different swarms with limited cloud bandwidth resource in such system. Therefore, it requires an optimized cloud bandwidth allocation to improve overall downloading experience of users. In this paper, we propose a system performance model which characterizes the relationship between cloud uploading bandwidth and user download speed. Based on the model, we study the cloud uploading bandwidth allocation, with the goal of optimizing user's quality of experience (QoE) that mainly depends on downloading rate of desired contents. Furthermore, to decrease the computation complexity, we put forward a heuristic algorithm to approximate the optimized solution. Simulation results show that our heuristic algorithm can obtain higher user's QoE as compared with two typical bandwidth allocation algorithms.

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来源期刊
CiteScore
0.50
自引率
0.00%
发文量
1878
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