Hydrological Data Management with Grid Utility
In distributed heterogeneous scenarios, querying data from various sources efficiently and concisely is always a key challenge. In this paper, we analyze the characteristics of hydrological data and study the data integration in grid environment. We propose a query processing procedure based on domain topics and grid infrastructure. Domain topics are defined according to domain query patterns, and data sources are described for each domain topic. In the following schema mapping procedure, we only focus on a small subset of schemas. A topic query is decomposed into subqueries against global schema and then mapped to local queries against local schemas in the query processing procedure. Performance metrics are retrieved from grid infrastructure to generate an optimum query plan. And query answers are cached and described as new sources for new queries. Empirical results have shown that our approach works well in the hydrological science grid environment.
hydrological science grid data integration query processing query optimization
Nianfeng Weng Xingchun Diao Jing Feng Zhanfeng Wang Deqing Chen
Institute of Command Automation,PLA Univ. of Sci. & Tech.,Nanjing, China Nanjing Telecommunication Institute,Nanjing, China Institute of Meteorology,PLA Univ. of Sci. & Tech.,Nanjing, China Water Resource Information Center, Ministry of Water Resources, P. R. China, Beijing, China
国际会议
成都
英文
1-4
2010-04-16（万方平台首次上网日期，不代表论文的发表时间）