基于商用硬件的高性能网络分析的多处理器架构的内核级监视器

A. Muñoz, A. Ferro, F. Liberal, J. López
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引用次数: 5

摘要

流量监控是当今网络中越来越重要的一门学科,其基础是计费、安全以及服务质量(QoS)。此外,近年来流量带宽呈指数级增长,高速网络监控是一个具有挑战性的目标。性能需求与监视系统高度相关。对交通分析系统(TAS)的捕捉阶段进行的一项低级研究显示有改进的余地。我们提供了一种能够使用商用硬件处理高速交通监控的体系结构。我们的设计还打算利用最新工作站中可用的并行性。本文提出了一种内核级监控系统(ksensor),在保持原有要求的同时,消除了用户级处理中的一些问题,提高了整体性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Kernel-Level Monitor over Multiprocessor Architectures for High-Performance Network Analysis with Commodity Hardware
Traffic monitoring is an increasingly important discipline for nowadays networking, as Accounting, Security and also Quality of Service (QoS) lay on it. Besides, traffic bandwidth has increased exponentially in the last few years, and high-speed network monitoring is a challenging aim. Performance requirements are highly relevant for monitoring systems. A low-level study of the capturing stages on a traffic analysis system (TAS) has shown room for improvement. We provide an architecture able to cope with high-speed traffic monitoring using commodity hardware. Our design is also intended to exploit the parallelism available in up-to-date workstations. This paper presents a kernel-level monitoring system (ksensor) that, keeping the previous requirements, removes some issues from user-level processing, improving the overall performance.
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