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Flow size statistics is a fundamental task of passive measurement. In order to bound the estimation error of passive measurement for both small and large flows, previous probabilistic counter updating algorithms used linear or nonlinear sampling function to automatically adjust the sampling rate. However, each of these methods employed a pre-set and fixed sampling function during the measurement period...
Flow-level sampling methods have been widely studied and extensively employed in network traffic measurement systems. However, traffic anomalies are becoming more prevalent and severe in the Internet, which pose great challenges to the traffic measurement. Existing solutions targeted at such scenario have either low accuracy or high memory usage. In this paper, we propose a two-stage sampling approach-Anti...
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