System architecture for deep packet inspection in high-speed networks

Grigory R. Khazankin, Sergey Komarov, D. Kovalev, A. Barsegyan, Alexander Likhachev
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引用次数: 4

Abstract

To solve the problems associated with large data volume real-time processing, heterogeneous systems using various computing devices are increasingly used. The characteristic of solving this class of problems is related to the fact that there are two directions for improving methods of real-time data analysis: the first is the development of algorithms and approaches to analysis, and the second is the development of hardware and software. This article reviews the main approaches to the architecture of a hardware-software solution for traffic capture and deep packet inspection (DPI) in data transmission networks with a bandwidth of 80 Gbit/s and higher. At the moment there are software and hardware tools that allow designing the architecture of capture system and deep packet inspection: • Using only the central processing unit (CPU); • Using only the graphics processing unit (GPU); • Using the central processing unit and graphics processing unit simultaneously (CPU + GPU). In this paper, we consider these key approaches. Also attention is paid to both hardware and software requirements for the architecture of solutions. Pain points and remedies are described.
高速网络中深度包检测的系统架构
为了解决与大数据量实时处理相关的问题,越来越多地使用使用各种计算设备的异构系统。解决这类问题的特点与实时数据分析方法的改进有两个方向有关:第一个是算法和分析方法的发展,第二个是硬件和软件的发展。本文综述了在带宽为80 Gbit/s及以上的数据传输网络中实现流量捕获和深度数据包检测(DPI)的软硬件解决方案体系结构的主要方法。目前有软件和硬件工具,允许设计捕获系统和深度包检测的架构:•仅使用中央处理单元(CPU);•仅使用图形处理单元(GPU);•同时使用中央处理器和图形处理器(CPU + GPU)。在本文中,我们考虑了这些关键的方法。还将注意解决方案体系结构的硬件和软件需求。描述了痛点和补救措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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