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

基本信息

  • 批准号:
    2224687
  • 负责人:
  • 金额:
    $ 10万
  • 依托单位:
  • 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

项目摘要

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.
当今的社会在很大程度上依赖各种基于Internet的服务,用于工作,教育,医疗保健和娱乐,并且访问质量(或最后一英里)网络决定了这些服务的经验质量。美国的访问网络的质量在不同地区,社区和人口统计学方面有所不同,这导致了数字不平等。决策者有兴趣弥合这一差距。为此,他们需要了解访问质量的状态。 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使用从芝加哥住宅部署收集的数据的策略。 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.).这样的功能将赋予政策制定者和其他利益相关者的能力,例如网络研究人员,网络运营商和最终用户。可以预见的是,开源工具,方法和数据将成为这些组织依靠评估Internet访问网络中问题性质的标准,以及评估各种政策干预,计划和基础设施投资的有效性,等等。项目网站:https://pinetrics.cs.ucsb.edu/this Award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,被认为值得通过评估来获得支持。

项目成果

期刊论文数量(0)
专著数量(0)
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会议论文数量(0)
专利数量(0)

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Arpit Gupta其他文献

Optimizing human factors in dentistry
优化牙科中的人为因素
  • DOI:
  • 发表时间:
    2013
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Arpit Gupta;A. Ankola;M. Hebbal
  • 通讯作者:
    M. Hebbal
Analyzing Disparity and Temporal Progression of Internet Quality through Crowdsourced Measurements with Bias-Correction
通过带有偏差校正的众包测量来分析互联网质量的差异和时间进展
  • DOI:
    10.48550/arxiv.2310.16136
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Hyeongseong Lee;Udit Paul;Arpit Gupta;E. Belding;Mengyang Gu
  • 通讯作者:
    Mengyang Gu
Inflammatory and insulin resistance markers in gestational diabetes mellitus
妊娠期糖尿病的炎症和胰岛素抵抗标志物
  • DOI:
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    0
  • 作者:
    V. Atam;Prachi Daga;Arpit Gupta;Madhukar Mittal;S. Mehrotra;S. Agrawal
  • 通讯作者:
    S. Agrawal
"Does the Exploration of the Temporomandibular Joint Using a Deep Subfascial Technique Result in a Superior Operative Outcome?"
“使用深层筋膜下技术探索颞下颌关节是否会带来更好的手术结果?”
Modelling the impact of increase in sugar prices on dental caries in India.
模拟糖价上涨对印度龋齿的影响。
  • DOI:
    10.1111/cdoe.12694
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    2.3
  • 作者:
    Arpit Gupta;S. Sharda;Gaurav Jyani;S. Prinja;A. Goyal;K. Gauba
  • 通讯作者:
    K. Gauba

Arpit Gupta的其他文献

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{{ truncateString('Arpit Gupta', 18)}}的其他基金

IMR: MT: NetFlex: A Flexible Scalable & Privacy-Preserving Network Measurement Platform to Iteratively Collect Multi-modal Multi-view Network Data from Access Networks
IMR:MT:NetFlex:灵活的可扩展
  • 批准号:
    2323229
  • 财政年份:
    2023
  • 资助金额:
    $ 10万
  • 项目类别:
    Continuing Grant
CC* Integration-Large: Democratizing Networking Research in the Era of AI/ML
CC* 大型集成:AI/ML 时代的网络研究民主化
  • 批准号:
    2126327
  • 财政年份:
    2021
  • 资助金额:
    $ 10万
  • 项目类别:
    Standard Grant
MLWiNS: RL-based Self-driving Wireless Network Management System for QoE Optimization
MLWiNS:基于强化学习的自动驱动无线网络管理系统,用于 QoE 优化
  • 批准号:
    2003257
  • 财政年份:
    2020
  • 资助金额:
    $ 10万
  • 项目类别:
    Standard Grant
Workshop on Next-G Mobile Security
下一代移动安全研讨会
  • 批准号:
    2030299
  • 财政年份:
    2020
  • 资助金额:
    $ 10万
  • 项目类别:
    Standard Grant

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