Presentation | 2010-09-02 Network Traffic Estimation with Dynamic Model Selection Approach Kousuke NOGAMI, Hiroshi YOSHIDA, Kozo SATODA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In best effort networks, it is necessary to model network behavior properly including network delay and packet loss in order to stabilize quality of delivering audio/video content. On the other hand, it's said that network has two features, long-range-dependency and phase transition, then this paper proposes a modeling approach to reflect these features. In this approach, network behavior is learned by multiple hidden Markov models in parallel and the proper model is selected among them based on current network behavior. The result of simulation shows that this approach can describe above two network features. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Network Modeling / Dynamic Model Selection / Hidden Markov Model |
Paper # | IN2010-53 |
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Committee | IN |
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Conference Date | 2010/8/26(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Information Networks (IN) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Network Traffic Estimation with Dynamic Model Selection Approach |
Sub Title (in English) | |
Keyword(1) | Network Modeling |
Keyword(2) | Dynamic Model Selection |
Keyword(3) | Hidden Markov Model |
1st Author's Name | Kousuke NOGAMI |
1st Author's Affiliation | Service Platforms Research Laboratories, NEC() |
2nd Author's Name | Hiroshi YOSHIDA |
2nd Author's Affiliation | Service Platforms Research Laboratories, NEC |
3rd Author's Name | Kozo SATODA |
3rd Author's Affiliation | Service Platforms Research Laboratories, NEC |
Date | 2010-09-02 |
Paper # | IN2010-53 |
Volume (vol) | vol.110 |
Number (no) | 191 |
Page | pp.pp.- |
#Pages | 6 |
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