The Service Analysis and Network Diagnosis Data Pipeline

D. Weitzel, Shawn McKee, B. Bockelman, J. Thiltges, M. Babik, I. Vukotic
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Abstract

Modern network performance monitoring toolkits, such as perfSONAR, take a remarkable number of measurements about the local network environment. To gain a complete picture of network performance, however, one needs to aggregate data across a large number of endpoints. The Service Analysis and Network Diagnosis (SAND) data pipeline collects data from diverse sources and ingests these measurements into a message bus. The message bus allows the project to send the data to multiple consumers, including a tape archive, an Elasticsearch database, and a peer infrastructure at CERN. In this paper, we explain the architecture and evolution of the SAND data pipeline, the scale of the resulting dataset, and how it supports a wide variety of network analysis applications.
业务分析与网络诊断数据管道
现代网络性能监控工具包,如perfSONAR,对本地网络环境进行了大量测量。然而,为了全面了解网络性能,需要跨大量端点聚合数据。业务分析和网络诊断(Service Analysis and Network Diagnosis, SAND)数据管道从不同的来源收集数据,并将这些测量数据摄取到消息总线中。消息总线允许项目将数据发送给多个消费者,包括磁带归档、Elasticsearch数据库和CERN的对等基础设施。在本文中,我们解释了SAND数据管道的架构和演变,结果数据集的规模,以及它如何支持各种网络分析应用。
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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