面向高速网络流量的硬件测量装置

发布时间：2019-05-09 06:40

【摘要】：为解决高速网络测量中面临的如何平衡测量速度、精度与存储器容量的问题,采用自适应非线性采样方法,基于高速现场可编程门阵列(FPGA)硬件平台,研究了针对高速网络流量的测量装置FAST.通过控制状态机设计、存储器功能划分和并行回导设计,FAST原型系统可根据实时流量动态调整采样概率,在较高的计数器压缩率下,保持99%以上的平均测量精度,分组测量吞吐量达27.4 Mpps.
[Abstract]:In order to solve the problem of how to balance the measurement speed, precision and memory capacity in high-speed network measurement, the adaptive nonlinear sampling method is adopted and based on the high-speed field programmable gate array (FPGA) hardware platform. The measurement device FAST. for high-speed network traffic is studied in this paper. By controlling state machine design, memory function partition and parallel echo design, the FAST prototype system can dynamically adjust the sampling probability according to the real-time traffic, and keep the average measurement accuracy above 99% under the high counter compression rate. Packet measurement throughput up to 27.4 Mpps.
【作者单位】：清华大学计算机科学与技术系;
【基金】：国家自然科学基金项目(61432009,61373143) 教育部博士点基金项目(20131019172)
【分类号】：TP393.06

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