IMR: RI-P: Programmable Closed-loop Measurement Platform for Last-Mile Networks

IMR：RI-P：最后一英里网络的可编程闭环测量平台

• 批准号: 2224687
• 负责人: Arpit Gupta
• 金额: $ 10万
• 依托单位: University of California-Santa Barbara
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-10-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2224687&HistoricalAwards=false
• 关键词: IMR; RI; Programmable; Closed; loop

Today's society relies heavily on various Internet-based services for work, education, health care, and entertainment, and the quality of access (or last-mile) network dictates the quality of experience for these services. The quality of access networks in the US varies across different regions, communities, and demographics, contributing to digital inequities. Policymakers are interested in bridging this gap; to do so, they require understanding the state of access quality. This collaborative project will explore the design and deployment strategies for a new network measurement and analytics platform that enables policymakers to assess access networks' quality at scale.This collaborative planning project will bring together researchers from the University of California Santa Barbara and the University of Chicago to explore the feasibility of a programmable and scalable data-collection platform, demonstrate the value of closed-loop data collection with specific use-cases, and evaluate different scaling strategies using the data collected from its residential deployments in Chicago. Additionally, this project will organize a workshop inviting different stakeholders from industry, government, and academia to identify scaling strategies, new features, and concrete use cases for the proposed platform.The proposed platform can answer questions ranging from the state of the Internet performance and infrastructure in specific neighborhoods to the Internet speeds and performance characteristics required to support special/new applications (e.g., video conferencing, telehealth, etc.). Such capabilities will empower policymakers and other stakeholders, such as networking researchers, network operators, and end users. It is envisioned that the open-source tools, methods, and data will become the standard that these organizations rely on to both assess the nature of problems in Internet access networks, as well as to assess the effectiveness of various policy interventions, programs, and infrastructure investments, and so forth. Project website: https://pinetrics.cs.ucsb.edu/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.

今天的社会在很大程度上依赖于各种基于互联网的服务，用于工作，教育，医疗保健和娱乐，接入（或最后一英里）网络的质量决定了这些服务的体验质量。美国接入网络的质量在不同地区、社区和人口统计数据中存在差异，导致了数字不平等。决策者有兴趣弥合这一差距;为此，他们需要了解接入质量的状况。该合作项目将探索新的网络测量和分析平台的设计和部署策略，使决策者能够大规模评估接入网络的质量。该合作规划项目将汇集来自加州大学圣巴巴拉和芝加哥大学的研究人员，探索可编程和可扩展的数据收集平台的可行性，通过特定用例展示闭环数据收集的价值，并使用从芝加哥的住宅部署中收集的数据评估不同的扩展策略。此外，该项目还将组织一个研讨会，邀请来自工业界、政府和学术界的不同利益相关者，为拟议的平台确定扩展策略、新功能和具体用例。拟议的平台可以回答从特定社区的互联网性能和基础设施状态到支持特殊/新应用所需的互联网速度和性能特征（例如，视频会议、远程保健等）。这些能力将增强政策制定者和其他利益相关者的能力，如网络研究人员、网络运营商和最终用户。据设想，开源工具，方法和数据将成为这些组织所依赖的标准，以评估互联网接入网络问题的性质，以及评估各种政策干预，计划和基础设施投资的有效性等。项目网站：https://pinetrics.cs.ucsb.edu/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的支持。