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CNS Core: Small: Event Identification in Evaluation of Internet Outages

CNS Core: Small: Event Identification in Evaluation of Internet Outages
CNS 核心:小型:互联网中断评估中的事件识别
批准号:
2007106
负责人:
John Heidemann
金额:
$48.33万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-10-01 至 2024-09-30

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中文摘要
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英文摘要
The EIEIO (Event Identification and Evaluation of Internet Outages) project will develop new algorithms to (1) improve coverage of Internet outage detection to cover millions of Internet Protocol version 4 (IPv4) (the primary current Internet) networks that are today uncovered, and extending coverage to Internet Protocol version 6 (IPv6) (the new protocol used by about 30% of America today). (2) analyze this raw data to determine identifiable outage events. (3) relate these events to real-world causes using other datasets. The results of this work will be additional information about Internet reliability, allowing citizens to make informed choices of provider, governments to assess the services their citizens receive, and ISPs to evaluate their offerings and justify improvements. Data from this work will help society understand the impact of natural disasters (such as hurricanes) as they are occurring and will be made available to researchers at no cost.Understanding Internet reliability is critically important to us. Recent methods have emerged that directly measure Internet-wide reliability, but the EIEIO (Event Identification and Evaluation of Internet Outages) project proposes three steps to move our understanding forward: (1) Improving IPv4 coverage to include millions of networks that cannot be reliably measured today, and extending outage detection to IPv6; (2) converting the millions of raw observations into identifiable events; (3) relating these events to real-world causes.The intellectual merit of the EIEIO project is to fundamentally expand Internet outage detection in these three ways. The EIEIO project will develop new algorithms to increase IPv4 coverage with more sensitive analysis, examine passive and active measurements that reach to IPv6. The EIEIO project will develop clustering algorithms that group raw data to events at Internet scales (millions of events over months of data). The EIEIO project will improve confidence in these results with careful comparison of outage observations and events from multiple data sources, including different observation methods and external data sources.The EIEIO project will help increase confidence in our ability to use fine-grain observations of Internet outages for IPv4 and IPv6 and provide data that will help network architects change network designs to improve network resilience. Results from the project could help citizens selecting network providers to make informed choices about their network purchases, governments to assess the service their citizens receive, and ISPs compare their offerings and justify improvements. Network outage data can assist first responders and citizens to understand natural disasters (such as hurricanes) as they are occurring. This project will also quantify network reliability to assist policy makers evaluating telecommunications policy and economics, and to carry out long-range planning. Finally, this data will motivate improvements by ISPs to Internet reliability, improving the Internet for all users. Data generated from this project will be made available to researchers at no cost and used to support education and research.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.
期刊论文(5)
专著(0)
科研奖励(0)
会议论文
Ebb and Flow: Implications of ISP Address Dynamics
潮起潮落:ISP 地址动态的影响
DOI: --
发表时间: 2024
期刊: Proceedings of the Passive and Active Measurement Conference
影响因子: --
作者: [Baltra, Guillermo, Song, Xiao, Heidemann, John]
通讯作者: Heidemann, John
Inferring Changes in Daily Human Activity from Internet Response
从互联网响应推断人类日常活动的变化
DOI: 10.1145/3618257.3624796
发表时间: 2023
期刊: ACM
影响因子: --
作者: [Song, Xiao, Baltra, Guillermo, Heidemann, John]
通讯作者: Heidemann, John
Internet outage detection using passive analysis
使用被动分析检测互联网中断
DOI: 10.1145/3517745.3563032
发表时间: 2022
期刊: Internet Measurements Conference
影响因子: --
作者: [Enayet, Asma, Heidemann, John]
通讯作者: Heidemann, John
Differences in Monitoring the DNS Root Over IPv4 and IPv6
通过 IPv4 和 IPv6 监控 DNS 根的差异
DOI: 10.1109/bdcat56447.2022.00036
发表时间: 2022
期刊: Applications and Technologies (BDCAT
影响因子: --
作者: [Saluja, Tarang, Heidemann, John, Pradkin, Yuri]
通讯作者: Pradkin, Yuri
Collaborative Research: IMR:MM-1B: Privacy in Internet Measurements Applied To WAN and Telematics
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    2023
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IMR: RI-P: Safe And Flexible Experimental Dataset Access and Sharing-Planning (SAFED-ASP)
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    2022
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Collaborative Research: CNS Core: Medium: A Traffic Map for the Internet
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