| Project/Area Number |
18500047
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Computer system/Network
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| Research Institution | Tokyo University of Agriculture and Technology |
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Principal Investigator |
KAWASHIMA Konosuke Tokyo University of Agriculture and Technology, Institute of Symbiotic Science and Technology, Professor (90345330)
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| Co-Investigator(Kenkyū-buntansha) |
OHZAHATA Satoshi National University Corporation Tokyo University of Agriculture and Technology, Institute of Symbiotic Science and Technology, Assistant Professor (30361744)
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| Project Period (FY) |
2006 – 2007
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| Project Status |
Completed (Fiscal Year 2007)
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| Budget Amount *help |
¥4,050,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥450,000)
Fiscal Year 2007: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2006: ¥2,100,000 (Direct Cost: ¥2,100,000)
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| Keywords | Information Network / Teletraffic / Peer-to-Peer / Internet / Broadband / Traffic measurement / Traffic analysis / P2P |
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| Research Abstract |
(1) P2P Traffic Identification Method
Peer-to-Peer (P2P) file sharing applications are widely used nowadays. In overlay networks, it is mainly music and video files that are transferred, and it is known that the traffic volume is much larger than that of classical Client/Server applications. However, the nature of current P2P application traffic is not well known because of the anonymous communication architectures used. To solve this problem, we have developed an identification method for pure P2P application traffic, especially for Winny, the most popular pure P2P file sharing application in Japan. Our method relies only on Client/Server relationships among the peers, without recourse to application header information. Our experiment shows that our identification of FN is 0.053-0.116 and FP is lower than 1/10000.
(2) Characteristics Evaluation of P2P Traffic
We applied our method to ISP traffic and gave an evaluation of the identified Winny traffic. The characteristics of the Winny flows are almost symmetric for the outgoing flows to the Internet and the incoming flows. A small number of peers are responsible for producing almost all the traffic volume. Small correlation is observed between uploading traffic and downloading traffic in one peer. This is because that there is not explicit incentive mechanism in Winny network.
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