基于fpga的流量规范和高效抓包的网络微突发分析系统

Shuhei Yoshida, Yuta Ukon, S. Ohteru, H. Uzawa, N. Ikeda, K. Nitta
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引用次数: 1

摘要

网络微突发是一种次毫秒级的流量突发,由于引起网络延迟和丢包而引起人们的关注。然而,在分析微突发的原因时,存在两个问题:如何捕获包含在微突发中的数据包以及如何指定引起微突发的流。为了解决这些问题,我们提出了一种基于现场可编程门阵列(FPGA)的微突发分析系统。该系统通过专用硬件以亚毫秒的时间分辨率检测微爆发。它只捕获全流量静态阈值检测触发的微突发检测前后的报文。此外,它还可以通过为每个流设置动态阈值来检测导致微突发的流。实验结果表明,基于数据中心的网络跟踪数据,该系统可以捕获微突发检测前后的数据包,并且在实际流量条件下,即使在带宽使用波动的网络中,也能正确地确定引起微突发的流量。该系统采用Intel®PAC和Arria®10 GX FPGA实现,消耗相对较少的硬件资源:51%的alm, 16%的寄存器和57%的块存储器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FPGA-Based Network Microburst Analysis System with Flow Specification and Efficient Packet Capturing
Network microbursts, which are sub-millisecond order bursts of traffic, have gathered attention due to causing network delay and packet loss. However, there are two problems in analyzing the causes of microbursts: how to capture the packet included in the microburst and how to specify the flows causing microbursts. To resolve these problems, we propose a field-programmable gate array (FPGA)-based microburst analysis system. This system detects microbursts with dedicated hardware in sub-millisecond time resolution. It can capture only packets before and after microburst detection triggered by detection with a static threshold for whole traffic. In addition, it can specify the flows causing microbursts by detection with a dynamic threshold for each flow. The experimental results show that the proposed system can capture only packets before and after microburst detection and can correctly specify the flow causing microbursts even in a network with fluctuating bandwidth usage in practical traffic conditions on the basis of network trace data in a datacenter. The proposed system is implemented with Intel® PAC with Arria® 10 GX FPGA and consumes relatively small amounts of hardware resources: 51 % ALMs, 16 % registers, and 57 % block memories.
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