| Presentation | 2003/11/14 Comparison of Estimation Methods in Traffic Data Analysis Based on Extreme Value Theory : Comparison of Maximum Likelihoood Method and Matching Moment Method Masato UCHIDA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The behavior of the tail distributions of the variables concerning teletraffic states, such as packet loss rate, queue length, delay time, link-usage rate, and throughput, greatly influences the communication quality, application performance, and network design, etc. Against this background, this paper uses Extreme Value Theory (EVT) to analyze traffic-data and compares two estimation methods, Maximum Likelihood Method (MLM) and Matching Moment Method (MMM), that are needed for the analysis. Though MLM is used in various fields of data analysis because it has asymptotic efficiency and asymptotic consistency, it does not have gross-error-robustness. So, it is important to compare the estimated results derived from MLM and MMM. In this paper, we disucuss their characteristics. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | P2P / Gnutella Protocol / Degree Distribution |
| Paper # | NS2003-186,CQ2003-103,TM2003-64 |
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| Committee | NS |
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| Conference Date | 2003/11/14(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Network Systems(NS) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Comparison of Estimation Methods in Traffic Data Analysis Based on Extreme Value Theory : Comparison of Maximum Likelihoood Method and Matching Moment Method |
| Sub Title (in English) | |
| Keyword(1) | P2P |
| Keyword(2) | Gnutella Protocol |
| Keyword(3) | Degree Distribution |
| 1st Author's Name | Masato UCHIDA |
| 1st Author's Affiliation | NTT Service Integration Laboratories, NTT Corporation() |
| Date | 2003/11/14 |
| Paper # | NS2003-186,CQ2003-103,TM2003-64 |
| Volume (vol) | vol.103 |
| Number (no) | 443 |
| Page | pp.pp.- |
| #Pages | 6 |
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