IMR: MM-1C: An Extensible Platform for Asking Research Questions of High-Speed Network Links

IMR：MM-1C：用于提出高速网络链路研究问题的可扩展平台

• 批准号: 2319080
• 负责人: Zakir Durumeric
• 金额: $ 59.98万
• 依托单位: Stanford University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-10-01 至 2026-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2319080&HistoricalAwards=false
• 关键词: IMR; MM; 1C; Extensible; Platform

Over the past decade, network speeds have increased dramatically, outpacing the tools that both researchers and operators used for understanding and securing networks. Beyond volume, Internet traffic itself has also fundamentally changed — most traffic today is encrypted and relies on cloud infrastructure or content distribution networks. Visibility into Internet traffic is critical for understanding performance characteristics, troubleshooting operational issues, performing Internet Measurement Research, and answering fundamental security questions. Many tools have been proposed for regaining network visibility, but few have seen widespread adoptions due to fundamental limitations in the types of questions they were capable of asking. Rephrased, proposed tools were fast, but could not accommodate the complex questions that researchers and operators need to ask in practice. This project builds an open source network measurement platform that is specifically designed to allow asking complex, real-world questions of networks, as defined by a broad set of researchers and ISP operators. The platform runs on general purpose (x86) servers and allows users to subscribe to subsets of parsed network traffic needed for their analysis. In contrast to prior work, the platform is not constrained to a custom query language, but instead builds on the flexibility, performance, and security provided by the Rust programming language. The project’s success will enable researchers to more easily pursue Internet Measurement and Security research as enable operators to better understand and secure their own networks. To ensure the platform’s long term usability, the research team will additionally partner with external research groups to understand the diverse set of operational constraints present in production networks and to deploy the measurement platform in those environments.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

在过去的十年中，网络速度显着提高，超过了研究人员和运营商用于理解和保护网络的工具。除了流量之外，互联网流量本身也发生了根本性的变化——当今的大多数流量都是加密的，并且依赖于云基础设施或内容分发。互联网流量的可见性对于了解性能特征、解决操作问题、执行互联网测量研究和回答基本安全问题至关重要，但由于网络的基本限制，很少有工具得到广泛采用。他们提出的问题类型换言之，所提出的工具速度很快，但无法满足研究人员和操作员在实践中需要提出的复杂问题。该项目构建了一个开源网络测量平台，专门用于提出复杂的现实世界问题。由广泛的研究人员和 ISP 运营商定义的网络问题，该平台在通用 (x86) 服务器上运行，并允许用户订阅分析所需的已解析网络流量的子集。不限于自定义查询语言，而是建立在 Rust 编程语言提供的灵活性、性能和安全性之上。该项目的成功将使研究人员能够更轻松地进行互联网测量和安全研究，从而使运营商能够更好地了解和保护自己的网络。为了保证平台的长期可用性，研究团队还将与外部研究小组合作，了解生产网络中存在的各种操作限制，并在这些环境中部署测量平台。该奖项符合 NSF 的法定使命，并被认为值得支持通过评估使用基金会的智力价值和更广泛的影响审查标准。