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Locality-aware streaming in hybrid P2P-cloud CDN systems - Springer

机译:混合P2P-cloud CDN系统中的位置感知流-Springer

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The cloud CDN has been exploited as a cost-effective and elastic way for video streaming, where the content providers only pay for resources (e.g., bandwidth, storage, Web service) that they use. As a server-client solution, the cost on the content providers, especially the bandwidth cost for delivering videos from the cloud to the users, is still high. To further mitigate the content distribution cost, it is promising to deploy the P2P streaming technology in conjunction with a cloud CDN, to construct a hybrid P2P-cloud CDN system. In this paper, we focus on optimal, locality-aware video-on-demand streaming solutions in a hybrid P2P-cloud CDN system, which achieve the best tradeoff between the costly bandwidth consumption on the cloud servers and the undesirable inter-ISP traffic incurred in the entire system. Especially, we characterize the demanded upload bandwidth in the cloud CDN and the incurred inter-ISP traffic through a number of stochastic and optimization models. We first apply a loss network model to derive the needed bandwidth capacity in the cloud CDN under any given chunk distribution pattern among the peer caches and any streaming request dispatching strategy among the ISPs, and derive the optimal peer caching and request dispatching strategies which minimize the bandwidth demand on the cloud CDN. We then investigate the necessary volume of inter-ISP traffic required to achieve the minimum cloud bandwidth, as well as the impact of limiting the inter-ISP traffic on the cloud bandwidth consumption. Based on the fundamental insights from our models and analytical results, we design a locality-aware, hybrid P2P-cloud streaming protocol, and validate its performance using extensive simulations under realistic settings.
机译:云CDN已被用作一种经济高效且弹性的视频流方式,其中内容提供商仅需支付他们使用的资源(例如带宽,存储,Web服务)。作为服务器-客户端解决方案,内容提供商的成本,尤其是将视频从云传输到用户的带宽成本仍然很高。为了进一步减轻内容分发成本,有希望将P2P流技术与云CDN结合使用,以构建混合的P2P-云CDN系统。在本文中,我们专注于混合P2P云CDN系统中的最佳,可感知位置的视频点播流解决方案,该解决方案在云服务器上昂贵的带宽消耗与不希望发生的ISP间流量之间取得了最佳平衡。在整个系统中。尤其是,我们通过多种随机和优化模型来表征云CDN中所需的上传带宽以及ISP之间的流量。我们首先应用一种损耗网络模型,得出对等缓存之间任何给定的块分配模式和ISP之间任何流请求分配策略下的云CDN中所需的带宽容量,然后得出使对等缓存最小化的最佳对等缓存和请求分配策略。云CDN上的带宽需求。然后,我们调查了实现最小云带宽所需的ISP间流量的必要数量,以及限制ISP间流量对云带宽消耗的影响。基于我们模型和分析结果的基本见解,我们设计了一种可感知位置的混合P2P云流协议,并在实际设置下使用广泛的仿真来验证其性能。

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