When the Internet Sleeps: Correlating Diurnal Networks With External Factors. Quan, L., Heidemann, J., & Pradkin, Y. In Proceedings of the ACM Internet Measurement Conference, pages 87–100, Vancouver, BC, Canada, November, 2014. ACM.
When the Internet Sleeps: Correlating Diurnal Networks With External Factors [link]Paper  doi  abstract   bibtex   
As the Internet matures, policy questions loom larger in its operation. When should an ISP, city, or government invest in infrastructure? How do their policies affect use? In this work, we develop a new approach to evaluate how policies, economic conditions and technology correlates with Internet use around the world. First, we develop an adaptive and accurate approach to estimate \emphblock availability, the fraction of active IP addresses in each /24 block over short timescales (every 11 minutes). Our estimator provides a new lens to interpret data taken from existing long-term outage measurements, thus requiring no additional traffic. (If new collection was required, it would be lightweight, since on average, outage detection requires less than 20 probes per hour per /24 block; less than 1% of background radiation.) Second, we show that spectral analysis of this measure can identify \emphdiurnal usage: blocks where addresses are regularly used during part of the day and idle in other times. Finally, we analyze data for the entire responsive Internet (3.7M /24 blocks) over 35 days. These global observations show \emphwhen and \emphwhere the Internet sleeps—networks are mostly always-on in the US and Western Europe, and diurnal in much of Asia, South America, and Eastern Europe. ANOVA (Analysis of Variance) testing shows that diurnal networks correlate negatively with country GDP and electrical consumption, quantifying that national policies and economics relate to networks.
@InProceedings{Quan14c,
	author = 	"Lin Quan and John Heidemann and Yuri Pradkin",
	title = 	"When the {Internet} Sleeps: Correlating
                  Diurnal Networks With External Factors" ,
	booktitle = 	"Proceedings of the " # "ACM Internet Measurement Conference",
	year = 		2014,
	sortdate = 		"2014-11-01", 
	project = "ant, lacrend, retrofuture, duoi",
	jsubject = "routing",
	pages = 	"87--100",
	month = 	nov,
	address = 	"Vancouver, BC, Canada",
	publisher = 	"ACM",
	jlocation = 	"johnh: pafile",
	keywords = 	"routing outage detection, diurnal network
                  behavior, active probing,
                  ntework outages",
	doi = "http://dx.doi.org/10.1145/2663716.2663721",
	url =		"https://ant.isi.edu/%7ejohnh/PAPERS/Quan14b.html",
	pdfurl =	"https://ant.isi.edu/%7ejohnh/PAPERS/Quan14b.pdf",
	otherurl =	"ftp://ftp.isi.edu/isi-pubs/tr-699b.pdf",
	myorganization =	"USC/Information Sciences Institute",
	copyrightholder = "authors",
	copyrightterms = "	Permission to make digital or hard copies of all or part of 	this work for personal or classroom use is granted 	without fee provided that copies are not made or 	distributed for profit or commercial advantage and 	that copies bear this notice and the full citation 	on the first page. Copyrights for components of this 	work owned by others than ACM must be 	honored. Abstracting with credit is permitted. To 	copy otherwise, or republish, to post on servers or 	to redistribute to lists, requires prior specific 	permission and/or a fee. Request permissions from 	Permissions@acm.org. Copyright is held by the 	owner/author(s). Publication rights licensed to ACM. ",
	abstract = "
As the Internet matures, policy questions loom larger in its
operation.  When should an ISP, city, or government invest in
infrastructure?  How do their policies affect use?  In this work, we
develop a new approach to evaluate how policies, economic conditions
and technology correlates with Internet use around the world.  First,
we develop an adaptive and accurate approach to
estimate \emph{block availability}, 
the fraction of active IP addresses in each /24 block
over short timescales (every 11 minutes).  Our estimator provides a
new lens to interpret data taken from existing long-term outage
measurements, thus requiring no additional traffic.  (If new
collection was required, it would be lightweight, since on average,
outage detection requires less than 20 probes per hour per /24 block;
less than 1\% of background radiation.)  Second, we show that spectral
analysis of this measure can identify \emph{diurnal usage}: blocks
where addresses are regularly used during part of the day and idle in
other times.  Finally, we analyze data for the entire responsive
Internet (3.7M /24 blocks) over 35 days.  These global observations
show \emph{when} and \emph{where} the Internet sleeps---networks are
mostly always-on in the US and Western Europe, and diurnal in much of
Asia, South America, and Eastern Europe.  ANOVA (Analysis of Variance)
testing shows that diurnal networks correlate negatively with country
GDP and electrical consumption, quantifying that national policies and
economics relate to networks.
",
}
Downloads: 0
About
Documentation
Keywords
Search
Users
Terms and Conditions of Use
Privacy Policy
Sitemap
© BibBase.org 2021