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Accelerating Sketch-Based Computations with GPU: A Case Study for Network Traffic Change Detection

机译:使用GPU加速基于草图的计算:网络流量变化检测的案例研究

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Sketch-based algorithms are widely used in networking applications due to its many good attributes. We propose to use Graphics Processing Unit (GPU) as an accelerating engine to offload heavy sketch computations for network traffic change detection. Our experiment results show that GPU can conduct fast change detection with query operation up to 9 million distinct keys per second. It is capable of processing sketch data structure for wide-range of applications in fine-grained time scale efficiently.
机译:基于草图的算法由于具有许多良好的属性而被广泛用于网络应用中。我们建议使用图形处理单元(GPU)作为加速引擎来减轻繁重的草图计算的负担,以检测网络流量变化。我们的实验结果表明,GPU可以以高达每秒900万个不同键的查询操作进行快速更改检测。它能够在细粒度的时间尺度上有效地处理草图数据结构,以用于广泛的应用程序。

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