2009³â Ãß°è Çмú´ëȸ
Current Result Document :
ÇѱÛÁ¦¸ñ(Korean Title) |
½Ã°ø°£ ÁúÀÇ Å¬·¯½ºÅ͸µ: µ¥ÀÌÅÍ Å¥ºù ±â¹ý |
¿µ¹®Á¦¸ñ(English Title) |
Spatio-temporal Query Clustering: A Data Cubing Approach |
ÀúÀÚ(Author) |
½É»ó¿¹
¹é¼ºÇÏ
¹èÇØ¿µ
Xiangrui Chen
Sungha Baek
Haeyoung Bae
|
¿ø¹®¼ö·Ïó(Citation) |
VOL 16 NO. 02 PP. 0287 ~ 0288 (2009. 11) |
Çѱ۳»¿ë (Korean Abstract) |
|
¿µ¹®³»¿ë (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. |
Å°¿öµå(Keyword) |
|
ÆÄÀÏ÷ºÎ |
PDF ´Ù¿î·Îµå
|