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，例如视频流和会议，对住宅和移动宽带绩效如何影响用户的经验质量的放大问题。确定服务不足的社区并改善其宽带绩效是弥合美国数字鸿沟的关键步骤。但是，现有的速度测试生态系统在衡量宽带性能中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。这些不一致会导致不可靠的测试结果。该项目旨在设计，实施和部署一个测量工具包，以评估宽带互联网拓扑和速度（Rabbits）（Rabbits）。该工具包提供了全面的纵向数据集，以促进有关发展速度测试基础设施拓扑和性能的科学研究。兔子中包含的软件通过支持一致的测试参数，即使在不同的测试平台上也可以使用可重现的速度测试。 该项目旨在提供严格的互联网测量功能，以支持宽带消费者保护工作，并确定改善未经服务/服务不足社区的覆盖范围的机会。有关该项目的其他信息，请参见https：//rabbits.caida.org.。该奖项反映了NSF的法定任务，并且使用基金会的知识分子优点和更广泛的影响评估标准，认为值得通过评估来获得支持。