Analyzing Peer-to-Peer Traffic Across Large Networks

Analyzing Peer-to-Peer Traffic Across Large Networks (2002)

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by Subhabrata Sen , Jia Wang

Venue:	IEEE/ACM Transactions on Networking
Citations:	267 - 3 self

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Datum	Value	Source
TITLE	Analyzing Peer-to-Peer Traffic Across Large Networks	INFERENCE
AUTHOR NAME	Subhabrata Sen	SVM HeaderParse 0.2
AUTHOR NAME	Jia Wang	SVM HeaderParse 0.2
ABSTRACT	Abstract—The use of peer-to-peer (P2P) applications is growing dramatically, particularly for sharing large video/audio files and software. In this paper, we analyze P2P traffic by measuring flowlevel information collected at multiple border routers across a large ISP network, and report our investigation of three popular P2P systems—FastTrack, Gnutella, and Direct-Connect. We characterize the P2P trafffic observed at a single ISP and its impact on the underlying network. We observe very skewed distribution in the traffic across the network at different levels of spatial aggregation (IP, prefix, AS). All three P2P systems exhibit significant dynamics at short time scale and particularly at the IP address level. Still, the fraction of P2P traffic contributed by each prefix is more stable than the corresponding distribution of either Web traffic or overall traffic. The high volume and good stability properties of P2P traffic suggests that the P2P workload is a good candidate for being managed via application-specific layer-3 traffic engineering in an ISP’s network. Index Terms—File sharing, peer-to-peer, P2P, traffic characterization, traffic measurement.	SVM HeaderParse 0.2
YEAR	2002	INFERENCE
VENUE	IEEE/ACM Transactions on Networking	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
PAGES	219--232	INFERENCE
VOLUME	12	INFERENCE
CITATIONS	37 found	ParsCit 1.0