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A QoE Perspective on Sizing Network Buffers

机译:QoE在尺寸的网络缓冲区上的透视图

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Despite decades of operational experience and focused research efforts, standards for sizing and configuring buffers in network systems remain controversial. An extreme example of this is the recent claim that excessive buffering (i.e., bufferbloat) can severely impact Internet services. In this paper, we systematically examine the implications of buffer sizing choices from the perspective of factors impacting end user experience. To assess user perception of application quality under various buffer sizing schemes we employ Quality of Experience (QoE) metrics. We evaluate these metrics over a wide range of end-user applications (e.g., web browsing, VoIP, and RTP video streaming) and workloads in two realistic testbeds emulating access and backbone networks. The main finding of our extensive evaluations is that network workload, rather than buffer size, is the primary determinant of end user QoE. Our results also highlight the relatively narrow conditions under which bufferbloat seriously degrades QoE, i.e., when buffers are oversized and sustainably filled.
机译:尽管有数十年的运营经验和重点的研究工作,但网络系统中的大小和配置缓冲区的标准仍然存在争议。这是一个极端的例子是近来,过多的缓冲(即,bufferbloat)可能会严重影响互联网服务。在本文中,我们从影响最终用户体验的因素的角度来系统地检查缓冲区大小选择的影响。在各种缓冲规范方案下评估用户对应用质量的看法,我们采用经验质量(QoE)指标。我们在两种最终用户应用程序(例如,Web浏览,VoIP和RTP视频流)和两个逼真测试平台的工作负载中评估这些指标。模拟访问和骨干网络。主要发现我们广泛的评估是网络工作负载,而不是缓冲区大小,是最终用户QoE的主要决定因素。我们的结果还突出了缓冲器严重降解QoE的相对狭窄的条件,即,当缓冲区超大和可持续填补时。

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