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Detecting large flows in a software-defined network accurately is important for many applications. However, due to the constraints of measurement resources such as TCAMs, the existing solutions often suffer from feasibility and accuracy issues. In this letter, by combining the advantages of sampling and flow counting, we propose FlowMon, a sample and fetch-based two-stage large flow detection mechanism...
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