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（Internet Outages的事件识别和评估）项目将开发新的算法，以（1）提高Internet中断检测的覆盖范围，以覆盖数百万个Internet协议版本4（IPv4）（当前主要的Internet）网络，并将覆盖范围扩展到Internet协议版本6（IPv6）（今天约30%的美国人使用的新协议）。 (2)分析该原始数据以确定可识别的停机事件。 (3)使用其他数据集将这些事件与现实世界的原因联系起来。 这项工作的结果将是关于互联网可靠性的更多信息，使公民能够对供应商作出知情的选择，使政府能够评估其公民获得的服务，使互联网服务提供商能够评估其提供的服务并证明改进的合理性。 这项工作的数据将帮助社会了解自然灾害（如飓风）的影响，因为他们正在发生，并将提供给研究人员免费。了解互联网的可靠性是至关重要的，我们。最近出现了直接测量Internet范围内可靠性的方法，但EIEIO（Internet Outages的事件识别和评估）项目提出了三个步骤来推进我们的理解：（1）改进IPv4覆盖范围，以包括目前无法可靠测量的数百万个网络，并将中断检测扩展到IPv6;（2）将数百万个原始观察结果转换为可识别的事件;（3）将这些事件与现实世界的原因联系起来。EIEIO项目的智力价值在于从根本上扩展了这三种方式的互联网中断检测。 EIEIO项目将开发新的算法，通过更敏感的分析来增加IPv4的覆盖范围，检查达到IPv6的被动和主动测量。 EIEIO项目将开发聚类算法，将原始数据分组为互联网规模的事件（数百万个事件超过数月的数据）。EIEIO项目将通过仔细比较来自多个数据源（包括不同的观测方法和外部数据源）的中断观测和事件来提高对这些结果的信心。EIEIO项目将有助于提高对我们使用IPv4和IPv6互联网中断细粒度观测的能力的信心，并提供有助于网络架构师改变网络设计以提高网络弹性的数据。 该项目的结果可以帮助选择网络提供商的公民对他们的网络购买做出明智的选择，政府评估他们的公民获得的服务，以及ISP比较他们的产品并证明改进的合理性。网络中断数据可以帮助第一响应者和公民了解正在发生的自然灾害（如飓风）。该项目还将量化网络可靠性，以协助决策者评估电信政策和经济，并进行长期规划。 最后，这些数据将促使互联网服务提供商改善互联网的可靠性，为所有用户改善互联网。 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的法定使命，并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，被认为值得支持。

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

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

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

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