| タイトル | Bayesian Forecasting of WWW Traffic on the Time Varying Poisson Model |
|---|---|
| 著者 | Daiki Koizumi 、Toshiyasu Matsushima 、Shigeichi Hirasawa |
| 年度 | 2009 |
| 形式 | 国際学会 |
| 分野 | その他 |
| 掲載雑誌名 | Proc. of The 2009 International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA'09) |
| 掲載号・ページ | pp. 683-689, Nevada, USA |
| 掲載年 | 2009 |
| 掲載月 | 6 |
| アブスト （日本語） |
学会名：The 2009 International Conference on Parallel and Distributed Processing Techniques and Applications 日程：July 13-16, 2009 場所：Las Vegas, Nevada, USA |
| アブスト （英語） |
Traffic forecasting from past observed traffic data with small calculation complexity is one of important problems for planning of servers and networks. Focusing on World Wide Web (WWW) traffic as fundamental investigation, this paper would deal with Bayesian forecasting of network traffic on the time varying Poisson model from a viewpoint from statistical decision theory. Under this model, we would show that the estimated forecasting value is obtained by simple arithmetic calculation and expresses real WWW traffic well from both theoretical and empirical points of view. |
| 備考 （日本語） |
1 |
| 備考 （英語） |
1 |
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| 発表資料 |
