new talk “Observing the Global IPv4 Internet: What IP Addresses Show” as an SKC Science and Technology Webinar

John Heidemann gave the talk “Observing the Global IPv4 Internet: What IP Addresses Show” at the SKC Science and Technology Webinar, hosted by Deepankar Medhi (U. Missouri-Kansas City and NSF) on June 18, 2021.  A video of the talk is on YouTube at Slides are available at

From the abstract:Covid and non-Covid network changes in India; part of a talk about measuring the IPv4 Internet.

Since 2014 the ANT lab at USC has been observing the visible IPv4 Internet (currently 5 million networks measured every 11 minutes) to detect network outages. This talk explores how we use this large-scale, active measurement to estimate Internet reliability and understand the effects of real-world events such as hurricanes. We have recently developed new algorithms to identify Covid-19-related Work-from-Home and other Internet shutdowns in this data. Our Internet outage work is joint work of John Heidemann, Lin Quan, Yuri Pradkin, Guillermo Baltra, Xiao Song, and Asma Enayet with contributions from Ryan Bogutz, Dominik Staros, Abdulla Alwabel, and Aqib Nisar.

This project is joint work of a number of people listed in the abstract above, and is supported by NSF 2028279 (MINCEQ) and CNS-2007106 (EIEIO). All data from this paper is available at no cost to researchers.

Presentations Publications

new poster “Measuring the Internet during Covid-19 to Evaluate Work-from-Home” at the NSF PREPARE-VO Workshop

Xiao Song presented the poster “Measuring the Internet during Covid-19 to Evaluate Work-from-Home (poster)” at the NSF PREPARE-VO Workshop on 2020-12-15. Xiao describes the poster in our video.

A case study network showing network changes as a result of work-from-home. Here we know ground truth and can see weekly work behavior (the groups of five bumps), followed by changes on the right in March when work-from-home begins.

There was no formal abstract, but this poster presents early results from examining Internet address changes to identify work-from-home resulting from Covid-19.

This work is part of the MINCEQ project, supported as an NSF CISE RAPID, NSF-2028279.

Announcements Projects

new project “Measuring the Internet during Novel Coronavirus to Evaluate Quarantine” (MINCEQ)

We are happy to announce a new project “Measuring the Internet during Novel Coronavirus to Evaluate Quarantine” (MINCEQ).

Measuring the Internet during Novel Coronavirus to Evaluate Quarantine (RAPID-MINCEQ) is a project to measure changes in Internet use during the COVID-19 outbreak of 2020. As the world grapples with COVID-19, work-from-home and study-from-home are widely employed. Implementation of these policies varies across the U.S. and globally due to local circumstances. A common consequence is a huge shift in Internet use, with schools and workplaces emptying and home Internet use increasing. The goal of this project is to observe this shift, globally, through changes in Internet address usage, allowing observation of early reactions to COVID and, one hopes, a future shift back.

This project plans to develop two complementary methods of assessing Internet use by measuring address activity and how it changes relative to historical trends. The project will directly measure Internet address use globally based on continuous, ongoing measurements of more than 4 million IPv4 networks. The project will also directly measure Internet address use in network traffic at a regional Internet exchange point where multiple Internet providers interconnect. The first approach provides a global picture, while the second provides a more detailed but regional picture; together they will help evaluate measurement accuracy.

The project website is at The PI is John Heidemann. This work is supported by NSF as a RAPID award in response to COVID-19, award NSF-2028279.