When network is undergoing problems such as congestion, scan attack, DDoS attack, etc , measurements are much more important than usual. In this case, traffic characteristics including available bandwidth, packet rate, and flow size distribution vary drastically, significantly degrading the performance of measurements. To address this issue, we propose the Elastic sketch. It is adaptive to currently traffic characteristics. Besides, it is generic to measurement tasks and platforms. We implement the Elastic sketch on six platforms: P4, FPGA, GPU, CPU, multi-core CPU, and OVS, to process six typical measurement tasks. Experimental results and theoretical analysis show that the Elastic sketch can adapt well to traffic characteristics. Compared to the state-of-the-art, the Elastic sketch achieves 44.6 ~ 45.2 times faster speed and 2.0 ~ 273.7 smaller error rate.

中文翻译：

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使用一个弹性草图进行自适应测量

当网络出现拥塞，扫描攻击，DDoS攻击， 等等 ，测量比平时重要得多。在这种情况下，包括可用带宽，数据包速率和流量大小分布在内的流量特性将发生巨大变化，从而严重降低测量性能。为了解决这个问题，我们提出了弹性草图。它适应当前的交通特征。此外，它对于测量任务和平台是通用的。我们在六个平台（P4，FPGA，GPU，CPU，多核CPU和OVS）上实现Elastic Sketch，以处理六个典型的测量任务。实验结果和理论分析表明，弹性草图能够很好地适应交通特征。与最新技术相比，Elastic Sketch的速度提高了44.6〜45.2倍，错误率降低了2.0〜273.7。