| Presentation | 2020-10-01 [Poster Presentation] A Study on Topology Estimation from Observed Network Flows Keita Kitaura, Ryotaro Matsuo, Ryo Nakamura, Hiroyuki Ohsaki, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Acquisition and estimation of topologies of large-scale evolving networkssuch as communication networks and social networks are not trivial becauseof their scale, complexity, and dynamics. In general, the topology of acommunication network can be represented as a graph composed of manyvertices and edges. A network topology estimation problem can be formulatedas a graph topology estimation problem with limited knowledge on the graph. Network topology estimation problems include a range of variants dependingon the data available, constraints, and the objective function. Networktopology estimation problems can be classified into two categories: directand indirect. In indirect network topology estimationproblems, only information regarding the network topology to be estimated isknown. In this paper, we propose an indirect network topology estimationmethod called TOPFLOW (network TOPology inference from FLOW sets), which estimates the topology of a network from the limited number of flowsets observed at measurement nodes in the network. Also, we extensivelyinvestigate the effectiveness of TOPFLOW through a number of experimentswith diverse networks with different structures and scales. Our findingsinclude that the estimation accuracy grows almost linearly as the ratio ofmeasurement nodes increases in several network topologies. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Network Topology Inference / Observed Flows / Shortest Path |
| Paper # | IA2020-11 |
| Date of Issue | 2020-09-24 (IA) |
| Conference Information | |
| Committee | IA |
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| Conference Date | 2020/10/1(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | IA2020 - Workshop on Internet Architecture and Applications 2020 |
| Chair | Hiroyuki Osaki(Kwansei Gakuin Univ.) |
| Vice Chair | Rei Atarashi(IIJ) / Toru Kondo(Hiroshima Univ.) / Hiroshi Yamamoto(Ritsumeikan Univ.) |
| Secretary | Rei Atarashi(Kwansei Gakuin Univ.) / Toru Kondo(KDDI Research) / Hiroshi Yamamoto(NEC) |
| Assistant | Kenji Ohira(Osaka Univ.) / Daiki Nobayashi(Kyushu Inst. of Tech.) / Ryohei Banno(Kogakuin Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Internet Architecture |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Poster Presentation] A Study on Topology Estimation from Observed Network Flows |
| Sub Title (in English) | |
| Keyword(1) | Network Topology Inference |
| Keyword(2) | Observed Flows |
| Keyword(3) | Shortest Path |
| 1st Author's Name | Keita Kitaura |
| 1st Author's Affiliation | Kwansei Gakuin University(Kwansei Gakuin Univ.) |
| 2nd Author's Name | Ryotaro Matsuo |
| 2nd Author's Affiliation | Kwansei Gakuin University(Kwansei Gakuin Univ.) |
| 3rd Author's Name | Ryo Nakamura |
| 3rd Author's Affiliation | Fukuoka University(Fukuoka Univ.) |
| 4th Author's Name | Hiroyuki Ohsaki |
| 4th Author's Affiliation | Kwansei Gakuin University(Kwansei Gakuin Univ.) |
| Date | 2020-10-01 |
| Paper # | IA2020-11 |
| Volume (vol) | vol.120 |
| Number (no) | IA-177 |
| Page | pp.pp.31-31(IA), |
| #Pages | 1 |
| Date of Issue | 2020-09-24 (IA) |