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TRAFFIC LOCALIZATION FOR VIDEO SERVICE ON INTELLIGENT OPTICAL NETWORK

机译:智能光网络上视频服务的业务定位

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The demand for high-quality video has been posing remarkable new challenges on achieving efficiency and fair utilization of network resources. High-quality IPTV and VoD has high-bandwidth requirements. Another trend is the popularity of p2p systems and it could severely strain broadband networks. In particular, without the ability to explicitly communicate with network providers, P2P applications mainly depend on inefficient network inference and networkoblivious peering, leading to potential inefficiencies for both P2P applications and network providers. In this paper, we propose a multi-domain resource management for super high-definition video delivery service which can effectively reduce the backbone network traffic. The Resource scheduling mechanism is discussed. The reduction of network traffic is measured.
机译:对高质量视频的需求在实现效率和公平利用网络资源方面提出了新的挑战。高质量IPTV和VoD具有高带宽要求。另一个趋势是p2p系统的普及,它可能会严重影响宽带网络。尤其是,由于无法与网络提供商进行显式通信,P2P应用程序主要依赖于效率低下的网络推断和网络对等的对等,从而导致P2P应用程序和网络提供商的潜在低效率。在本文中,我们提出了一种用于超高清视频交付服务的多域资源管理,可以有效地减少骨干网流量。讨论了资源调度机制。测量网络流量的减少。

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