@TechReport{Quan10b,
	author = 	"Lin Quan and John Heidemann",
	title = 	"On the Characteristics and Reasons of
                  Long-lived Internet Flows (extended)",
	institution = 	"USC/Information Sciences Institute",
	year = 		2010,
	sortdate = 		"2010-05-01",
	project = "ant, nocredit, lacrend, lander, madcat",
	number = 	"ISI-TR-2010-667",
	month = 	may,
	jlocation = 	"johnh: pafile",
	keywords = 	"ipv4 network traffic, long-lived flows, 2 weeks",
	url =		"https://ant.isi.edu/%7ejohnh/PAPERS/Quan10b.html",
	pdfurl =	"https://ant.isi.edu/%7ejohnh/PAPERS/Quan10b.pdf",
	myorganization =	"USC/Information Sciences Institute",
	copyrightholder = "authors",
	abstract = "
Prior studies of Internet traffic have considered traffic at different
resolutions and time scales:  packets and flows for hours or days,
aggregate packet statistics for days or weeks, and hourly trends for
months.  However, little is known about the \emph{long-term} behavior
of \emph{individual flows}.  In this paper, we study individual flows
(as defined by the 5-tuple of protocol, source and destination IP
address and port) over days and weeks.  While the vast majority of
flows are short, and most bytes are in short flows, we find that about
20\% of the overall bytes are carried in flows that last longer than
10 minutes, and flows lasting 100 minutes or longer make up 2\% of
traffic.  We show that long-lived flows are qualitatively different
from short flows:  they are generally slower, less bursty, and are due
to different applications and protocols.  We investigate the causes of
short- and long-lived flows, and show that the traffic mix varies
significantly depending on duration time scale, with
computer-to-computer traffic more and more dominating in larger time
scales.
",
}

{"_id":"xcHqTPydZmS4jJFao","bibbaseid":"quan-heidemann-onthecharacteristicsandreasonsoflonglivedinternetflowsextended-2010","author_short":["Quan, L.","Heidemann, J."],"bibdata":{"bibtype":"techreport","type":"techreport","author":[{"firstnames":["Lin"],"propositions":[],"lastnames":["Quan"],"suffixes":[]},{"firstnames":["John"],"propositions":[],"lastnames":["Heidemann"],"suffixes":[]}],"title":"On the Characteristics and Reasons of Long-lived Internet Flows (extended)","institution":"USC/Information Sciences Institute","year":"2010","sortdate":"2010-05-01","project":"ant, nocredit, lacrend, lander, madcat","number":"ISI-TR-2010-667","month":"May","jlocation":"johnh: pafile","keywords":"ipv4 network traffic, long-lived flows, 2 weeks","url":"https://ant.isi.edu/%7ejohnh/PAPERS/Quan10b.html","pdfurl":"https://ant.isi.edu/%7ejohnh/PAPERS/Quan10b.pdf","myorganization":"USC/Information Sciences Institute","copyrightholder":"authors","abstract":"Prior studies of Internet traffic have considered traffic at different resolutions and time scales: packets and flows for hours or days, aggregate packet statistics for days or weeks, and hourly trends for months. However, little is known about the \\emphlong-term behavior of \\emphindividual flows. In this paper, we study individual flows (as defined by the 5-tuple of protocol, source and destination IP address and port) over days and weeks. While the vast majority of flows are short, and most bytes are in short flows, we find that about 20% of the overall bytes are carried in flows that last longer than 10 minutes, and flows lasting 100 minutes or longer make up 2% of traffic. We show that long-lived flows are qualitatively different from short flows: they are generally slower, less bursty, and are due to different applications and protocols. We investigate the causes of short- and long-lived flows, and show that the traffic mix varies significantly depending on duration time scale, with computer-to-computer traffic more and more dominating in larger time scales. ","bibtex":"@TechReport{Quan10b,\n\tauthor = \t\"Lin Quan and John Heidemann\",\n\ttitle = \t\"On the Characteristics and Reasons of\n Long-lived Internet Flows (extended)\",\n\tinstitution = \t\"USC/Information Sciences Institute\",\n\tyear = \t\t2010,\n\tsortdate = \t\t\"2010-05-01\",\n\tproject = \"ant, nocredit, lacrend, lander, madcat\",\n\tnumber = \t\"ISI-TR-2010-667\",\n\tmonth = \tmay,\n\tjlocation = \t\"johnh: pafile\",\n\tkeywords = \t\"ipv4 network traffic, long-lived flows, 2 weeks\",\n\turl =\t\t\"https://ant.isi.edu/%7ejohnh/PAPERS/Quan10b.html\",\n\tpdfurl =\t\"https://ant.isi.edu/%7ejohnh/PAPERS/Quan10b.pdf\",\n\tmyorganization =\t\"USC/Information Sciences Institute\",\n\tcopyrightholder = \"authors\",\n\tabstract = \"\nPrior studies of Internet traffic have considered traffic at different\nresolutions and time scales: packets and flows for hours or days,\naggregate packet statistics for days or weeks, and hourly trends for\nmonths. However, little is known about the \\emph{long-term} behavior\nof \\emph{individual flows}. In this paper, we study individual flows\n(as defined by the 5-tuple of protocol, source and destination IP\naddress and port) over days and weeks. While the vast majority of\nflows are short, and most bytes are in short flows, we find that about\n20\\% of the overall bytes are carried in flows that last longer than\n10 minutes, and flows lasting 100 minutes or longer make up 2\\% of\ntraffic. We show that long-lived flows are qualitatively different\nfrom short flows: they are generally slower, less bursty, and are due\nto different applications and protocols. We investigate the causes of\nshort- and long-lived flows, and show that the traffic mix varies\nsignificantly depending on duration time scale, with\ncomputer-to-computer traffic more and more dominating in larger time\nscales.\n\",\n}\n\n\n","author_short":["Quan, L.","Heidemann, J."],"bibbaseid":"quan-heidemann-onthecharacteristicsandreasonsoflonglivedinternetflowsextended-2010","role":"author","urls":{"Paper":"https://ant.isi.edu/%7ejohnh/PAPERS/Quan10b.html"},"keyword":["ipv4 network traffic","long-lived flows","2 weeks"],"metadata":{"authorlinks":{}}},"bibtype":"techreport","biburl":"https://bibbase.org/f/dHevizJoWEhWowz8q/johnh-2023-2.bib","dataSources":["YLyu3mj3xsBeoqiHK","fLZcDgNSoSuatv6aX","fxEParwu2ZfurScPY","7nuQvtHTqKrLmgu99"],"keywords":["ipv4 network traffic","long-lived flows","2 weeks"],"search_terms":["characteristics","reasons","long","lived","internet","flows","extended","quan","heidemann"],"title":"On the Characteristics and Reasons of Long-lived Internet Flows (extended)","year":2010}