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摘要翻译：
网络应用程序具有驻留在不同计算机上的软件组件。例如，电子邮件具有数据库、处理和用户界面组件，这些组件可以分布在网络中，并由不同位置或工作组的用户共享。端到端的性能和可靠性度量描述了这些用户组所经历的软件质量，同时考虑了流水线中的所有软件组件。每个用户只生成了解组应用程序质量所需的一些数据，因此通过组合每个终端计算机定期（并自动）发送到中央服务器的汇总统计信息，可以获得组性能指标。组质量度量通常关注中位数和尾部分位数，而不是平均值。但是，分布式分位数估计具有挑战性，尤其是当在网络中传递大量数据以计算质量度量时，这种方法是不可取的。本文描述了一种增量分位数(IQ)估计方法，该方法用于在网络聚合和时间分辨率的任意级别上，当只能传输有限数量的数据时，进行性能监测。提供了对真实数据和模拟数据的应用。
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英文标题：
《Monitoring Networked Applications With Incremental Quantile Estimation》
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作者：
John M. Chambers, David A. James, Diane Lambert, Scott Vander Wiel
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最新提交年份：
2007
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分类信息：
一级分类：Statistics 统计学
二级分类：Methodology 方法论
分类描述：Design, Surveys, Model Selection, Multiple Testing, Multivariate Methods, Signal and Image Processing, Time Series, Smoothing, Spatial Statistics, Survival Analysis, Nonparametric and Semiparametric Methods
设计，调查，模型选择，多重检验，多元方法，信号和图像处理，时间序列，平滑，空间统计，生存分析，非参数和半参数方法
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英文摘要：
Networked applications have software components that reside on different computers. Email, for example, has database, processing, and user interface components that can be distributed across a network and shared by users in different locations or work groups. End-to-end performance and reliability metrics describe the software quality experienced by these groups of users, taking into account all the software components in the pipeline. Each user produces only some of the data needed to understand the quality of the application for the group, so group performance metrics are obtained by combining summary statistics that each end computer periodically (and automatically) sends to a central server. The group quality metrics usually focus on medians and tail quantiles rather than on averages. Distributed quantile estimation is challenging, though, especially when passing large amounts of data around the network solely to compute quality metrics is undesirable. This paper describes an Incremental Quantile (IQ) estimation method that is designed for performance monitoring at arbitrary levels of network aggregation and time resolution when only a limited amount of data can be transferred. Applications to both real and simulated data are provided.
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PDF链接：
https://arxiv.org/pdf/708.0302
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