Presentation 2011-03-04
Performance evaluation of spatial composition method of measurement results in overlay networks
Ryuta SHOHARA, Go HASEGAWA, Masayuki MURATA,
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Abstract(in English) An overlay network is an application-layer network logically constructed on IP network. It is important for overlay networks to regularly measure the path performance to maintain and improve its service quality. One of the most accurate measurement method is full-mesh measurement, but when the number of overlay node is n, the method needs O(n^2) cost to measure all paths. So, the spatial composition method of measurement results has been proposed, which do not measure the overlapping part of the overlay path and estimate the path performance from measurement results of partial paths. However, we should discuss the estimation error between the estimated results and actually-maesured results. Therefore, in this report, we evaluate the estimation accuracy of the spacial composition method using actual measurement results on PlanetLab environment. We also propose the statistical method to enhance the estimation accuracy. We present numerical evaluation results and confirm that the proposed method can decrease the estimation error from 88% to 2%, while keeping the measurement efficiency.
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Keyword(in English) Overlay networks / network measurement / spatial composition / accuracy evaluation
Paper # IN2010-180
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Committee IN
Conference Date 2011/2/24(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Performance evaluation of spatial composition method of measurement results in overlay networks
Sub Title (in English)
Keyword(1) Overlay networks
Keyword(2) network measurement
Keyword(3) spatial composition
Keyword(4) accuracy evaluation
1st Author's Name Ryuta SHOHARA
1st Author's Affiliation Faculty of Engineering Science, Osaka University()
2nd Author's Name Go HASEGAWA
2nd Author's Affiliation Cybermedia Center, Osaka University
3rd Author's Name Masayuki MURATA
3rd Author's Affiliation Graduate School of Information Science and Technology, Osaka University
Date 2011-03-04
Paper # IN2010-180
Volume (vol) vol.110
Number (no) 449
Page pp.pp.-
#Pages 6
Date of Issue