个人信息Personal Information
教授
博士生导师
硕士生导师
性别:男
毕业院校:大连理工大学
学位:博士
所在单位:计算机科学与技术学院
办公地点:大连理工大学创新园大厦8-A0824
联系方式:18641168567
电子邮箱:gztan@dlut.edu.cn
A new spatial network clustering approach for aggregate query processing
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论文类型:期刊论文
发表时间:2011-04-01
发表刊物:ICIC Express Letters
收录刊物:EI、Scopus
卷号:5
期号:4 B
页面范围:1347-1352
ISSN号:1881803X
摘要:If the data are organized effectively in spatial networks, it is possible to reduce the cost of the aggregate network operations during query processing. So different techniques based on the clustering graph model are proposed to solve the spatial network clustering problem. However, the clustering graph model can not correctly capture the disk access costs of aggregate network operations. Thus, we propose an improved clustering approach to overcome the shortcomings of graph clustering model. The proposed approach aims to minimize the total number of disk page accesses in aggregate network operations while reducing the number of allocated disk pages as far as possible. The experimental results show that the proposed approach is very effective in reducing the number of disk accesses incurred by the network operations. ICIC International ? 2011.