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

被引:1
|
作者
Wu, Xiaoban [1 ]
Luo, Yan [1 ]
Bezerra, Jeronimo [2 ]
Wang, Liang-Min [3 ]
机构
[1] Univ Massachusetts Lowell, Lowell, MA 01854 USA
[2] Florida Int Univ, Miami, FL 33199 USA
[3] Intel Corp, Santa Clara, CA 95051 USA
基金
美国国家科学基金会;
关键词
Passive Measurement; Multicore Systems; Scalability;
D O I
10.1109/nas.2019.8834734
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:67 / 74
页数:8
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