| Presentation | 2008-07-09 Topology Inference from End Systems : An Analysis Based on the Detection Degree Kenji MASUI, Youki KADOBAYASHI, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Several kinds of network characteristics that end nodes can readily obtain without any privileges have been attracting some researchers as key materials for grasping the structure of the Internet. In this paper, we define one of such network characteristics called the node's "detection degree," which is equivalent to the number of times that monitoring nodes detect the node through the procedures of IP network topology discovery. To investigate whether we can grasp the state of the Internet with the detection degree, we gathered topology information on PlanetLab and analyzed it based on the detection degree. As a result, we found that the detection degree and some characteristics of Internet nodes, such as a node shared among paths from multiple monitoring nodes, could be correlative. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | network measurement / IP network topology / detection degree |
| Paper # | IA2008-14 |
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| Conference Information | |
| Committee | IA |
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| Conference Date | 2008/7/2(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Internet Architecture(IA) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Topology Inference from End Systems : An Analysis Based on the Detection Degree |
| Sub Title (in English) | |
| Keyword(1) | network measurement |
| Keyword(2) | IP network topology |
| Keyword(3) | detection degree |
| 1st Author's Name | Kenji MASUI |
| 1st Author's Affiliation | Graduate School of Information Science, Nara Institute of Science and Technology() |
| 2nd Author's Name | Youki KADOBAYASHI |
| 2nd Author's Affiliation | Graduate School of Information Science, Nara Institute of Science and Technology |
| Date | 2008-07-09 |
| Paper # | IA2008-14 |
| Volume (vol) | vol.108 |
| Number (no) | 120 |
| Page | pp.pp.- |
| #Pages | 6 |
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