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

9815737夏皮罗这个奖项支持伦纳德夏皮罗和一个或两个研究生从波特兰州立大学在合作与伯恩哈德Mitschang的信息科学系在慕尼黑，德国技术大学。 该奖项资助的研究将集中在优化查询大型数据仓库和复杂的多媒体对象。 目前的优化器已被证明不足以满足新的应用领域的需求。 在这一领域取得进展的障碍是并行数据库管理系统（DBMS）处理大型数据集和对象DBMS提供必要的语义能力。 这家美国公司在对象数据库管理系统方面拥有丰富的专业知识，而这家德国公司则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集成到一个优化器中，以提高查询的性能。 在需要处理和处理的数据量以指数速度增长的时代，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.