Observing the Global IPv4 Internet: What IP Addresses Show. Heidemann, J. Invited talk at the SKC Science and Technology Webinar Series, June, 2021.
Observing the Global IPv4 Internet: What IP Addresses Show [link]Paper  abstract   bibtex   
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.
@Misc{Heidemann21a,
	author = 	"John Heidemann",
	title = 	"Observing the Global {IPv4} Internet: What {IP}
                  Addresses Show",
	howpublished = "Invited talk at the SKC Science and Technology
                  Webinar Series",
	month = 	jun,
	year = 	2021,
	sortdate = 	"2021-06-18", 
	project = "ant, eieio, minceq",
	jsubject = "topology_modeling",
	jlocation = 	"johnh: pafile",
	keywords = 	"internet outages, covid-19, coronavirus, project, ipv4 address usage",
	url =		"https://ant.isi.edu/%7ejohnh/PAPERS/Heidemann21a.html",
	pdfurl =	"https://ant.isi.edu/%7ejohnh/PAPERS/Heidemann21a.pdf",
	videourl = "https://www.youtube.com/watch?v=4A_gFXi2WeY",
	blogurl = "https://ant.isi.edu/blog/?p=1753",
	myorganization =	"USC/Information Sciences Institute",
	copyrightholder = "authors",
	abstract = "
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.
",
}

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