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: University of Southern California
• 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
• 起止时间: 2020-10-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2007106&HistoricalAwards=false
• 关键词: CNS; Core; Small; Event; Identification

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.

EIEIO（事件识别和Internet中断的评估）项目将开发新算法以（1）改善Internet中断检测的覆盖范围，以覆盖数百万个Internet协议版本4（IPV4）（IPV4）（当前的主要Internet）网络，如今已被发现，并将覆盖范围扩展到Internet协议6（IPV6）（IPV6）（IPV6）（IPV6）（当今大约30％的新协议）。 （2）分析此原始数据以确定可识别的中断事件。 （3）使用其他数据集将这些事件与实际原因相关联。 这项工作的结果将是有关互联网可靠性的其他信息，使公民能够对提供商​​的明智选择，评估其公民收到的服务以及ISP评估其产品并证明改进的合理性。 这项工作的数据将有助于社会了解发生的自然灾害（例如飓风）的影响，并将免费提供给研究人员。了解互联网的可靠性对我们至关重要。最近出现了直接衡量范围全互联网可靠性的方法，但是EIEIO（事件识别和评估Internet中断）项目提出了三个步骤，以提高我们的理解前进：（1）提高IPv4覆盖范围以包括今天无法可靠地测量的数百万个网络，并将其扩展到IPV6; （2）将数百万的原始观测值转换为可识别的事件； （3）将这些事件与现实世界的原因相关联。EIEIO项目的智力优点是从这三种方式从根本上扩展Internet停电检测。 EIEIO项目将通过更敏感的分析来开发新算法，以增加IPv4覆盖范围，检查到IPv6的被动和主动测量。 EIEIO项目将开发群集算法，将原始数据分组为Internet量表的事件（数月的数据中数百万事件）。 EIEIO项目将通过仔细比较来自多个数据源的中断观察结果和事件的仔细比较，包括不同的观察方法和外部数据源。EIEIO项目将有助于提高我们对使用IPV4和IPV6的Internet中断观察结果的能力的信心，并帮助网络架构来改善网络设计以提高网络设计。 该项目的结果可以帮助公民选择网络提供商，以对其网络购买做出明智的选择，评估其公民收到的服务的政府以及ISP比较其产品并证明改进的合理性。网络中断数据可以帮助急救人员和公民在发生的情况下了解自然灾害（例如飓风）。该项目还将量化网络可靠性，以协助评估电信政策和经济学的政策制定者，并进行远程计划。 最后，这些数据将激发ISP对Internet可靠性的改进，从而改善所有用户的Internet。 该项目产生的数据将免费提供给研究人员，并用于支持教育和研究。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛的影响评估标准通过评估来支持的。

项目成果

Ebb and Flow: Implications of ISP Address Dynamics

潮起潮落：ISP 地址动态的影响

• 发表时间: 2024
• 期刊: Proceedings of the Passive and Active Measurement Conference
• 作者: Baltra, Guillermo;Song, Xiao;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
• 作者: Enayet, Asma;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
• 作者: Song, Xiao;Baltra, Guillermo;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
• 作者: Saluja, Tarang;Heidemann, John;Pradkin, Yuri
• 通讯作者: Pradkin, Yuri

Visualizing Internet Measurements of Covid-19 Work-from-Home

Covid-19 在家工作的互联网测量可视化

• DOI: 10.1109/bigdata52589.2021.9671311
• 发表时间: 2021
• 期刊: 2021 IEEE International Conference on Big Data (Big Data
• 作者: Stutz, Erica;Pradkin, Yuri;Song, Xiao;Heidemann, John
• 通讯作者: Heidemann, John