关键词: 数据中心, 分布式自动化测量, 性能瓶颈链路

Abstract:  The characteristics of current data center are that the network scale becomes huge, and the flow behavior becomes complex, studying large-scale data center network measurement method and positioning the current network performance bottleneck become increasingly important. This paper analyzes the current status of network measurement research, and presents an automatic measurement-distributed automatic measurement and performance bottleneck analysis method (AM-DMPA). The method can automatically generate the measurement task set, issue measurement tasks, and according to the measurement results, it can convergence the size of the network to be measured and can fast locate the network performance bottleneck link. Based on the typical large-scale data center of Tianhe 2, six different sizes of network environment are selected to compare AM-DMPA method with traditional methods of network measurement, the AM-DMPA method can quickly find and locate the bottleneck link in the network.

Key words: data center, distributed automatic measurement, performance bottleneck link