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A view from the edge: A stub-AS perspective of traffic localization and its implications

机译:边缘视角:基于存根AS的流量本地化及其含义

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Serving user requests from near-by caches or servers has been a powerful technique for localizing Internet traffic with the intent of providing lower delay and higher throughput to end users while also lowering the cost for network operators. This basic concept has led to the deployment of different types of infrastructures of varying degrees of complexity that large CDNs, ISPs, and content providers operate to localize their user traffic. Prior measurement studies in this area have focused mainly on revealing these deployed infrastructures, reverse-engineering the techniques used by these companies to map end users to close-by caches or servers, or evaluating the performance benefits that “typical” end users experience from well-localized traffic. To our knowledge, there has been no empirical study that assesses the nature and implications of traffic localization as experienced by end users at an actual stub-AS. This paper reports on such a study for the stub-AS UOnet (AS3582), a Research & Education network operated by the University of Oregon. Based on a complete flow-level view of the delivered traffic from the Internet to UOnet, we characterize the stub-AS's traffic footprint (i.e. a detailed assessment of the locality of the delivered traffic by all major content providers), examine how effective individual content providers utilize their built-out infrastructures for localizing their delivered traffic to UOnet, and investigate the impact of traffic localization on perceived throughput by end users served by UOnet. Our empirical findings offer valuable insights into important practical aspects of content delivery to real-world stub-ASes such as UOnet.
机译:服务来自附近缓存或服务器的用户请求已成为一种强大的技术,可用于本地化Internet通信,目的是为最终用户提供更低的延迟和更高的吞吐量,同时还降低了网络运营商的成本。这个基本概念导致部署了各种类型的基础结构,这些基础结构的复杂程度各不相同,大型CDN,ISP和内容提供者通过这些基础结构来本地化其用户流量。该领域以前的测量研究主要集中在揭示这些已部署的基础结构,对这些公司用来将最终用户映射到附近的缓存或服务器的技术进行反向工程,或者评估“典型”最终用户从性能中获得的性能收益。 -本地流量。据我们所知,还没有任何实证研究来评估最终用户在实际存根AS中所经历的流量本地化的性质和影响。本文报告了针对Stub-AS UOnet(AS3582)的一项研究,该研究是由俄勒冈大学运营的研究与教育网络。基于从Internet到UOnet的已交付流量的完整流级别视图,我们表征了stub-AS的流量足迹(即,对所有主要内容提供商对已交付流量的本地性的详细评估),检查单个内容的效果如何提供商利用其内置的基础结构来将其传递到UOnet的流量本地化,并调查流量本地化对UOnet服务的最终用户感知吞吐量的影响。我们的经验研究结果提供了宝贵的见解,可深入了解将内容交付到真实存根AS(例如UOnet)的重要实践方面。

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