U.S.-Germany Cooperative Research: Enhanced Optimization Techniques for Parallel and Object DBMSs

9815737 Shapiro该奖项支持Leonard Shapiro和波特兰州立大学的一到两名研究生，他们与德国慕尼黑工业大学信息科学系的Bernhard Mitschang合作。该奖项资助的研究将专注于优化对大型数据仓库和复杂多媒体对象的查询。事实证明，当前的优化器不能满足新应用领域的需求。在这一领域取得进展所必需的是处理大型数据集的并行数据库管理系统(DBMS)和提供必要语义功能的对象DBMS。这家美国集团在对象DBMS方面拥有丰富的专业知识，而这家德国集团已经设计了下一代并行数据库管理系统。通过合作，这两个小组将能够理解如何将对象和并行DBMS集成到单个优化器中，以提高查询性能。在要处理和处理的数据量以指数速度增长的情况下，这种类型的进步对知识管理至关重要。

9815737ShapiroThis award supports Leonard Shapiro and one or two graduate students from Portland State University in a collaboration with Bernhard Mitschang of the department of Information Science at the Technical University in Munich, Germany. The research funded by this award will focus on optimization of queries to large data warehouses and against complex multimedia objects. Current optimizers have proved inadequate to the needs of new application areas. Indispensable to progress in this area are parallel data base management systems (DBMSs) to handle large data sets and object DBMSs to offer the necessary semantic capabilities. The U.S. group possesses significant expertise in object DBMSs and the German group has designed a next-generation parallel DBMS. Working together, the two groups will be able to understand how object and parallel DBMSs can be integrated into a single optimizer for improved performance of queries. This type of advancement is crucial to knowledge management in a time when the amount of data to be processed and handled is increasing at an exponential rate.