IMR: MT: RABBITS: A measurement toolkit for Reproducible Assessment of BroadBand Internet Topology and Speed

IMR：MT：RABBITS：用于宽带互联网拓扑和速度可重复评估的测量工具包

• 批准号: 2323219
• 负责人: Ka Pui Mok
• 金额: $ 59.9万
• 依托单位: University of California-San Diego
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-10-01 至 2025-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2323219&HistoricalAwards=false
• 关键词: IMR; MT; RABBITS; measurement; toolkit

During the COVID-19 pandemic, accelerated adoption and use of online applications, such as video streaming and conferencing, amplified concerns regarding how residential and mobile broadband performance affects the user's quality of experience. Identifying underserved communities and improving their broadband performance is a crucial step to bridge the digital divide in the United States. However, the existing speed test ecosystem, which plays a vital role in measuring broadband performance, lacks standard approaches in terms of deployment, implementation, configuration, and measurement metrics. These inconsistencies can result in unreliable test results.This project aims to design, implement and deploy a measurement toolkit for Reproducible Assessment of BroadBand Internet Topology and Speed (RABBITS). This toolkit offers comprehensive and longitudinal datasets to facilitate scientific studies on topology and performance of evolving speed test infrastructure. The software included in RABBITS enables reproducible speed tests by supporting the use of consistent test parameters, even across different test platforms. The project seeks to provide rigorous Internet measurement capabilities that can support broadband consumer protection efforts, and identify opportunities to improve coverage in unserved/under-served communities. Additional information about this project can be found at https://rabbits.caida.org.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COVID-19大流行期间，加速采用和使用在线应用程序，如视频流和会议，加剧了人们对住宅和移动的宽带性能如何影响用户体验质量的担忧。确定服务不足的社区并改善其宽带性能是弥合美国数字鸿沟的关键一步。然而，现有的速度测试生态系统在衡量宽带性能方面起着至关重要的作用，在部署、实施、配置和测量指标方面缺乏标准方法。本项目旨在设计、实现和部署一个用于宽带互联网拓扑和速度可再现评估（RABBITS）的测量工具包。该工具包提供全面的纵向数据集，以促进对不断发展的速度测试基础设施的拓扑和性能的科学研究。RABBITS中包含的软件通过支持使用一致的测试参数，即使在不同的测试平台上，也可以实现可重复的速度测试。 该项目旨在提供严格的互联网测量能力，以支持宽带消费者保护工作，并确定在未获得服务/服务不足的社区改善覆盖面的机会。有关该项目的更多信息可以在www.example.com上找到https://rabbits.caida.org.This奖项反映了NSF的法定使命，并被认为值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估来支持。