A query-driven approach to the design and management of flexible database systems

• 成果类型: Article
• 署名作者: Chen, ANK; Goes, PB; Marsden, JR
• 署名单位: Arizona State University; Arizona State University-Tempe; University of Connecticut; University of Connecticut
• 刊物名称: JOURNAL OF MANAGEMENT INFORMATION SYSTEMS
• ISSN/ISSBN: 0742-1222
• 发表日期: 2002
• 页码: 121-154
• 关键词: user charge estimation; data warehouses; methodology

摘要

The need for timely information in the e-business world provides the impetus to develop a flexible database system with the capability to adapt and maintain performance levels under changing queries and changing business environments. Recognizing the importance of providing fast access to a variety of read-only applications in today's e-business world, we introduce the systems architecture for developing and implementing a flexible database system to achieve considerable gains in processing times of read queries. The key component of a flexible database system is query mining, the concept of determining relationships among query properties, alternative database structures, and query processing times. We validate the flexible database system concept through extensive laboratory experiments, where we embed learning tools to demonstrate the implementation of query mining.