G-NetMon: A GPU-accelerated Network Performance Monitoring System

Wenji Wu, P. DeMar, D. Holmgren, Amitoj Singh
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引用次数: 2

Abstract

At Fermilab, we have prototyped a GPU-accelerated network performance monitoring system, called G-NetMon, to support large-scale scientific collaborations. In this work, we explore new opportunities in network traffic monitoring and analysis with GPUs. Our system exploits the data parallelism that exists within network flow data to provide fast analysis of bulk data movement between Fermilab and collaboration sites. Experiments demonstrate that our G-NetMon can rapidly detect sub-optimal bulk data movements.
G-NetMon:一个gpu加速的网络性能监控系统
在费米实验室,我们制作了一个gpu加速网络性能监测系统的原型,称为G-NetMon,以支持大规模的科学合作。在这项工作中,我们探索了使用gpu进行网络流量监控和分析的新机会。我们的系统利用存在于网络流数据中的数据并行性来提供Fermilab和协作站点之间的批量数据移动的快速分析。实验表明,我们的G-NetMon可以快速检测到次优的批量数据移动。
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