2009년 추계 학술대회
Current Result Document :
| 한글제목(Korean Title) |
시공간 질의 클러스터링: 데이터 큐빙 기법 |
| 영문제목(English Title) |
Spatio-temporal Query Clustering: A Data Cubing Approach |
| 저자(Author) |
심상예
백성하
배해영
Xiangrui Chen
Sungha Baek
Haeyoung Bae
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| 원문수록처(Citation) |
VOL 16 NO. 02 PP. 0287 ~ 0288 (2009. 11) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Multi-query optimization (MQO) is a critical research issue in the real-time data stream management system (DSMS). We propose to address this problem in the ubiquitous GIS (u-GIS) environment, focusing on grouping ‘similar’ spatio-temporal queries incrementally into N clusters so that they can be processed virtually as N queries. By minimizing N, the overlaps in the data requirements of the raw queries can be avoided, which implies the reducing of the total disk I/O cost. In this paper, we define the spatio-temporal query clustering problem and give a data cubing approach (Q-cube), which is expected to be implemented in the cloud computing paradigm. |
| 키워드(Keyword) |
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