Simonetta Basso, M. Meo, A. Servetti, Juan Carlos De Martin
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引用次数: 21
Abstract
End user monitoring of quality of experience is one of the necessary steps to achieve an effective and winning control over network neutrality. The involvement of the end user, however, requires the development of light and user-friendly tools that can be easily run at the application level with limited effort and network resources usage. In this paper, we propose a simple model to estimate packet loss rate perceived by a connection, by round trip time and TCP goodput samples collected at the application level. The model is derived from the well-known Mathis equation, which predicts the bandwidth of a steady-state TCP connection under random losses and delayed ACKs and it is evaluated in a testbed environment under a wide range of different conditions. Experiments are also run on real access networks. We plan to use the model to analyze the results collected by the "network neutrality bot" (Neubot), a research tool that performs application-level network-performance measurements. However, the methodology is easily portable and can be interesting for basically any user application that performs large downloads or uploads and requires to estimate access network quality and its variations.
终端用户对体验质量的监控是实现对网络中立性的有效和获胜控制的必要步骤之一。但是,终端用户的参与需要开发轻量级和用户友好的工具,这些工具可以在应用程序级别轻松运行,只需要很少的工作和网络资源使用。在本文中,我们提出了一个简单的模型来估计由连接感知的丢包率,通过往返时间和在应用程序级别收集的TCP good - put样本。该模型来源于著名的马西斯方程,该方程预测了随机丢失和延迟ack下稳态TCP连接的带宽,并在各种不同条件下的测试环境中对其进行了评估。实验也在实际接入网上运行。我们计划使用该模型来分析“网络中立机器人”(Neubot)收集的结果,Neubot是一种执行应用级网络性能测量的研究工具。但是,该方法易于移植,对于执行大量下载或上传并需要估计接入网络质量及其变化的任何用户应用程序都很有趣。