2004
DOI: 10.1007/978-3-540-24668-8_1
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Dissecting BitTorrent: Five Months in a Torrent’s Lifetime

Abstract: Abstract. Popular content such as software updates is requested by a large number of users. Traditionally, to satisfy a large number of requests, lager server farms or mirroring are used, both of which are expensive. An inexpensive alternative are peer-to-peer based replication systems, where users who retrieve the file, act simultaneously as clients and servers. In this paper, we study BitTorrent, a new and already very popular peerto-peer application that allows distribution of very large contents to a large… Show more

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Cited by 350 publications
(269 citation statements)
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References 6 publications
(6 reference statements)
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“…Previous work on BitTorrent has focused on measurements [5,12,8,7], theoretical analysis [13], and improvements [16]. In [7], the log of a Bittorrent tracker is analysed; it shows for a single file the flashcrowd effect and download speed.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…Previous work on BitTorrent has focused on measurements [5,12,8,7], theoretical analysis [13], and improvements [16]. In [7], the log of a Bittorrent tracker is analysed; it shows for a single file the flashcrowd effect and download speed.…”
Section: Related Workmentioning
confidence: 99%
“…In [7], the log of a Bittorrent tracker is analysed; it shows for a single file the flashcrowd effect and download speed. In [13] a fluid model is used to determine the average download time of a single file.…”
Section: Related Workmentioning
confidence: 99%
“…Such studies may be classified into two groups. The first group uses log traces from trackers [10]- [15]. A BitTorrent tracker program is set up on PC servers to contact active peers in the tracked swarm.…”
Section: Tracker-level Measurementsmentioning
confidence: 99%
“…In order to learn more about traffic information, some P2P traffic identification research emphasized detailed features of a small subset of P2P protocols and/or networks [4][5][6], often motivated by the dominance of that protocol in a particular provider's infrastructure or during a specific time period. Some other systems used information such as known port number, flow level analysis [1], payload information (such as signatures) [8], topological feature and transport layer features [7].…”
Section: Related Research Literaturementioning
confidence: 99%