IRNC: AMI: NetSage - An Open, Privacy-Aware, Network Measurement, Analysis, and Visualization Service

IRNC：AMI：NetSage - 开放、隐私意识的网络测量、分析和可视化服务

• 批准号: 1540933
• 负责人: Jennifer Schopf
• 金额: $ 500万
• 依托单位: Indiana University
• 依托单位国家: 美国
• 项目类别: Cooperative Agreement
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-05-01 至 2023-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1540933&HistoricalAwards=false
• 关键词: IRNC; AMI; NetSage; Open; Privacy

NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to address the needs of today's international networks. Modern science is increasingly data-driven and collaborative in nature, producing petabytes of data that can be shared by tens to thousands of scientists all over the world. The NSF-supported International Research Network Connection (IRNC) links have been essential to performing these science experiments. Providing near real-time monitoring and visualization of international data transfers will help ensure that scientific workflows are operating at maximum efficiency. NetSage services provide an unprecedented combination of passive measurements, including SNMP data, flow data, and Bro-based traffic analysis, as well as active measurements, mainly perfSONAR, and longitudinal network performance data visualization. User privacy is a significant concern in this project given the data flowing through the exchange points. NetSage addresses these concerns through the use of a privacy advisory board that will ensure the data gathering activities are conducted to meet all community standards. The proposed work is a partnership between Indiana University, University of California at Davis, and University of Hawaii at Manoa. This uniquely strong team combines backgrounds in production international network support, networking measurement and prediction tools, network-intensive applications and data visualization.

NetSage是一种开放的隐私感知网络测量、分析和可视化服务，旨在满足当今国际网络的需求。现代科学在本质上越来越多地由数据驱动和协作，产生了数PB的数据，可以被世界各地数万到数千名科学家共享。NSF支持的国际研究网络连接(IRNC)链接对于执行这些科学实验至关重要。提供对国际数据传输的近乎实时的监测和可视化，将有助于确保科学工作流程以最高效率运行。NetSage服务提供前所未有的被动测量与主动测量(主要是性能SONAR)和纵向网络性能数据可视化的组合，其中被动测量包括SNMP数据、流数据和基于Bro的流量分析。考虑到流经交换点的数据，用户隐私是该项目中的一个重要问题。NetSage通过使用隐私顾问委员会来解决这些问题，该委员会将确保数据收集活动的进行符合所有社区标准。拟议的工作是印第安纳大学、加州大学戴维斯分校和夏威夷大学马诺阿分校之间的合作伙伴关系。这支独一无二的强大团队结合了国际网络支持、网络测量和预测工具、网络密集型应用程序和数据可视化方面的生产背景。

项目成果

The NetSage Measurement Framework: Design, Development, and Discoveries

NetSage 测量框架：设计、开发和发现

• DOI: 10.1109/indis51933.2020.00010
• 发表时间: 2020
• 期刊: IEEE/ACM Innovating the Network for Data-Intensive Science (INDIS
• 作者: Turner, Katrina;Khanal, Mahesh;Seto-Mook, Tyson;Gonzalez, Alberto;Leigh, Jason;Lake, Andrew;Baveha, Sartaj;Faci, Samir;Tierney, Brian;Ensman, Lisa
• 通讯作者: Ensman, Lisa