Ares: A Scalable High-Performance Passive Measurement Tool Using a Multicore System

Xiaoban Wu, Yan Luo, Jeronimo Bezerra, Liang-Min Wang
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引用次数: 3

Abstract

Network measurement tools must support the collection of fine-grain flow statistics and scale well to the increasing line rates. However, conventional network measurement software tools are inadequate in high-speed network at the current scale. In this paper, we present Ares, a scalable high-performance passive network measurement tool to collect accurate per-flow metrics. Ares is built on a multicore platform, consisting of an effective hierarchical core assignment strategy, an efficient hash table for keeping flow statistics, a novel lockless flow statistics management scheme, as well as cache friendly prefetching. Our extensive performance evaluation shows that Ares brings about 19x speedup for 64-byte packets over existing approaches and can sustain up to a line rate of 100Gbps, while delivering the same level of fine-grained flow metrics.
Ares:使用多核系统的可扩展高性能被动测量工具
网络测量工具必须支持细粒度流量统计数据的收集,并能很好地适应不断增加的管线速率。然而,传统的网络测量软件工具在当前规模下的高速网络中是不够的。在本文中,我们介绍了Ares,一种可扩展的高性能无源网络测量工具,用于收集准确的每流指标。Ares建立在一个多核平台上,包括一个有效的分层核心分配策略,一个有效的保持流量统计的哈希表,一个新的无锁流量统计管理方案,以及缓存友好的预取。我们广泛的性能评估表明,Ares为64字节数据包提供了比现有方法快19倍的加速,并且可以维持高达100Gbps的线路速率,同时提供相同级别的细粒度流指标。
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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