IRNC: AMI: Collaborative Research: Software-Defined and Privacy-Preserving Network Measurement Instrument and Services for Understanding Data-Driven Science Discovery

IRNC：AMI：协作研究：软件定义和隐私保护的网络测量仪器和服务，用于理解数据驱动的科学发现

• 批准号: 1450937
• 负责人: Vernon Bumgardner
• 金额: $ 50.21万
• 依托单位: University of Kentucky Research Foundation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-04-01 至 2019-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1450937&HistoricalAwards=false
• 关键词: IRNC; AMI; Collaborative; Research; Software

Data intensive science discovery at a global scale has imposed new requirements on the speed and management of international research and education networks. At the connection points of these international networks, it is critical to measure the network data flows to understand network traffic patterns, identify network anomalies and provide insights to network control and planning. However, the ever-increasing network speed, the massive amount of network flows and the changing measurement objectives have made the flow-level measurement on very high-speed networks extremely challenging. The Advanced Measurement Instrument and Services (AMIS) project leverages many-core, programmable network processors to prototype and deploy an advanced measurement instrument to enable services for accurate network monitoring and in-depth traffic analysis. The instrument supports flow-granularity measurement at line rate up to 100Gbps and software application programming interfaces to examine selected flows, with no impact to the performance of user traffic. With scalable hardware and an open source software stack, the measurement services equip network operators with effective tools to quantify flow-level network performance and study network flows through privacy-preserving computational analytics. This project is built on a consortium of academia, industrial partners, network operators and international alliances, who bring unique expertise and resources to achieve the objectives of high performance, programmable flow-granularity network measurement. The outcomes from this project will significantly benefit data driven science discovery, such as astronomy and space weather studies, and will promote broadened participation of underrepresented groups (such as Hispanic and female students) through the involvement of multiple universities, including an EPSCoR university and a Hispanic Serving Institution.

全球范围内的数据密集型科学发现对国际研究和教育网络的速度和管理提出了新的要求。在这些国际网络的连接点，测量网络数据流以了解网络流量模式、识别网络异常并为网络控制和规划提供见解是至关重要的。然而，网络速度的不断提高、网络流量的海量和测量目标的不断变化，使得在超高速网络上进行流级测量具有极大的挑战性。高级测量仪器和服务(AMIS)项目利用多核可编程网络处理器来制作和部署高级测量仪器，以实现准确的网络监控和深入的流量分析服务。该仪器支持高达100Gbps线速的流量粒度测量和软件应用程序编程接口，以检查选定的流量，而不会影响用户流量的性能。凭借可扩展的硬件和开源软件堆栈，测量服务为网络运营商配备了有效的工具，以量化流量级别的网络性能，并通过保护隐私的计算分析来研究网络流量。该项目建立在一个由学术界、工业合作伙伴、网络运营商和国际联盟组成的联盟的基础上，他们带来了独特的专业知识和资源，以实现高性能、可编程流量粒度网络测量的目标。该项目的成果将大大有利于数据驱动的科学发现，如天文学和空间气象研究，并将通过多所大学的参与，促进代表性不足的群体(如西班牙裔和女学生)的更广泛参与，包括一所EPSCoR大学和一所拉美裔服务机构。

项目成果

An Edge-Focused Model for Distributed Streaming Data Applications

分布式流数据应用程序的边缘聚焦模型

• DOI: 10.1109/percomw.2018.8480196
• 发表时间: 2018
• 期刊: 2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops
• 作者: Bumgardner, V. K.;Hickey, Caylin;Marek, Victor W.
• 通讯作者: Marek, Victor W.

Cresco: A distributed agent-based edge computing framework

Cresco：基于分布式代理的边缘计算框架

• DOI: 10.1109/cnsm.2016.7818455
• 发表时间: 2016
• 期刊: 2016 12th International Conference on Network and Service Management (CNSM
• 作者: Bumgardner, V. K.;Marek, Victor W.;Hickey, Caylin D.
• 通讯作者: Hickey, Caylin D.

Edge-enabled Distributed Network Measurement

• DOI: 10.1109/percomw.2018.8480233
• 发表时间: 2018-03
• 期刊: 2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)
• 作者: V. Bumgardner;Caylin D. Hickey;V. Marek

AMIS: Programmable Privacy-Preserving Network Measurement for Analysis and Troubleshooting

AMIS：用于分析和故障排除的可编程隐私保护网络测量

• 发表时间: 2019
• 期刊: Integrated network management
• 作者: Wu, Xiaoban;Xu, Chen;Luo, Yan;Bumgardner, Cody;Ghinita, Gabriel;McGarry, Michael
• 通讯作者: McGarry, Michael