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Cooperative traffic management for video streaming overlays

机译:视频流叠加的协作流量管理

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Peer-to-peer (P2P) based overlays often ignore the boundaries of network domains and make traffic management challenging for network operators. Locality-aware techniques are a promising approach to alleviate this impact, but often benefit only network operators and fail to provide similar benefits to end-users and overlay providers. This is especially severe with video streaming overlays that are responsible for a large amount of Internet traffic. In this paper we present and evaluate a collaborative approach where a network operator measures the behavior of overlay users and promotes a subset of them in terms of up- and download bandwidth. This creates an incentive to users and overlay providers to cooperate by using locality awareness according to the operator's policies. We evaluate our approach both with a real application and via extensive simulations to analyze the user selection metrics and the impact on different network operators. Our study shows that this cooperative traffic management approach leads to a situation that is beneficial for users, content providers, and network operators.
机译:基于对等(P2P)的覆盖通常会忽略网络域的边界,并给网络运营商带来流量管理的挑战。位置感知技术是减轻这种影响的一种有前途的方法,但通常仅使网络运营商受益,而无法为最终用户和覆盖提供商提供类似的利益。对于负责大量Internet流量的视频流叠加层,这尤其严重。在本文中,我们介绍并评估一种协作方法,其中网络运营商可以测量覆盖用户的行为,并根据上行和下载带宽来提升其中一部分。这会激励用户和覆盖提供商根据运营商的政策使用位置意识进行合作。我们通过实际的应用程序以及通过广泛的仿真来评估我们的方法,以分析用户选择指标以及对不同网络运营商的影响。我们的研究表明,这种协作式流量管理方法会导致对用户,内容提供商和网络运营商有利的情况。

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