期刊論文
| 學年 | 99 |
|---|---|
| 學期 | 1 |
| 出版（發表）日期 | 2010-09-01 |
| 作品名稱 | A Data Accessing Model for Dynamic Clustering of Object-Oriented Databases |
| 作品名稱（其他語言） | |
| 著者 | 闕豪恩; Chueh, Hao-en; 林丕靜; Lin, Nancy P. |
| 單位 | 淡江大學資訊工程學系 |
| 出版者 | Bethel: Binary Information Press |
| 著錄名稱、卷期、頁數 | Journal of Computational Information Systems 6(9), pp.2787-2794 |
| 摘要 | For dynamic clustering of objects, a data accessing model of online object-oriented databases is proposed in this paper. Dynamic clustering for object-oriented databases is an important issue in database management systems. Most of the previous researches have focused on the schemes of the dynamic clustering to optimal disk rearrangement, and not many works have been done on the behavior of the data requested pattern. For the data accessing sequence to consolidate and advance the state of research in object clustering problem, a statistical model of data accessing behavior is proposed. The behavior of data accessing sequence can be described by Poisson Processing Model (PPM). The criterion we suggested for the dynamic clustering strategy is an iterative numerical method, two preselected values need to be chosen, which are used to bind the deviations of the object-probabilities and the percentage of the objects in the object space that we can do without reclustering of the objects. |
| 關鍵字 | |
| 語言 | en_US |
| ISSN | 1553-9105 |
| 期刊性質 | 國外 |
| 收錄於 | EI |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | 否 |
| 國別 | USA |
| 公開徵稿 | |
| 出版型式 | ,電子版 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/59833 ) |