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METHODS AND APPARATUS TO BOUND NETWORK TRAFFIC ESTIMATION ERROR FOR MULTISTAGE MEASUREMENT SAMPLING AND AGGREGATION

机译:用于多阶段测量采样和聚集的有界网络流量估计误差的方法和装置

摘要

Methods and apparatus to bound network traffic estimation error for multistage measurement sampling and aggregation are disclosed. An example method disclosed herein comprises determining a hierarchical sampling topology representative of multiple data sampling and aggregation stages, the hierarchical sampling topology comprising a plurality of nodes connected by a plurality of edges, each node corresponding to at least one of a data source and a data aggregation operation, and each edge corresponding to a data sampling operation characterized by a generalized sampling threshold, selecting a first generalized sampling threshold from a set of generalized sampling thresholds associated with a respective set of edges originating at a respective set of descendent nodes of a target node undergoing network traffic estimation, and transforming a measured sample of network traffic into a confidence interval for a network traffic estimate associated with the target node using the first generalized sampling threshold and an error parameter.
机译:公开了用于为多级测量采样和聚合来绑定网络流量估计误差的方法和装置。本文公开的示例方法包括确定代表多个数据采样和聚合阶段的分层采样拓扑,该分层采样拓扑包括由多个边缘连接的多个节点,每个节点对应于数据源和数据中的至少一个。聚合操作,以及与以通用采样阈值为特征的数据采样操作相对应的每个边缘,从与源自目标的后代节点的相应集合的相应边缘集合相关联的通用采样阈值集合中选择第一通用采样阈值节点进行网络流量估计,并使用第一广义采样阈值和误差参数将测量的网络流量样本转换为与目标节点关联的网络流量估计的置信区间。

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