| 한글제목(Korean Title) |
Adaptive Partitioning for Efficient Query Support |
| 영문제목(English Title) |
Adaptive Partitioning for Efficient Query Support |
| 저자(Author) |
Hong-won Yun
|
| 원문수록처(Citation) |
VOL 05 NO. 04 PP. 0369 ~ 0373 (2007. 12) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
RFID systems large volume of data, it can lead to slower queries. To achieve better query performance, we can partition into active and some non-active data. In this paper, we propose two approaches of partitioning for efficient query support. The one is average period plus delta partition and the other is adaptive average period partition. We also present the system architecture to manage active data and non-active data and logical database schema. The data manager check the active partition and move all objects from the active store to an archive store associated with an average period plus data and an adaptive average period. Our experiments show the performance of our partitioning methods. |
| 키워드(Keyword) |
Partitioning methods
Data archiving
RFID data management
Temporal data modeling
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| 파일첨부 |
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