Presidential Young Investigator Award (Computer and Information Science)

本研究的重点是提高数据库系统的性能，特别是分布式数据库、分布式事务管理和实时数据库应用。除了主内存数据库等实现高性能的技术外，还研究了分布式数据库系统的并发控制算法、分布式连接算法和负载平衡技术的性能。研究的另一个主要方面是可扩展数据库系统的开发，包括必要的存储管理设施和编程工具。这项研究正在开发的EXODUS系统的目的是支持快速实施数据库管理设施，以供目前关系数据库系统提供的服务很差的数据库应用程序使用。EXODUS小组正在构建“数据库系统生成器”软件，包括一套通用的内核数据库设施和软件工具，以简化定制数据库管理系统的构建。对分布式数据库系统及其性能的研究对于指导未来数据库系统的设计者具有重要意义。虽然关系数据库系统现在已经成为商业现实，并且它们的分布式对应系统也开始变得可用，但是在理解和改进它们的性能方面仍然存在重大挑战。本文所研究的可扩展数据库系统对于超越关系数据库并支持广泛的新兴数据库应用至关重要：计算机辅助设计和制造（CAD/CAM）、计算机辅助软件工程、科学数据管理、图像/语音数据管理和数据密集型人工智能应用。在这些领域大规模努力的成功将取决于灵活、高性能的数据管理设施，如EXODUS项目中开发的那些设施。

This research is focused on improving database system performance, particularly for distributed databases, distributed transaction management and real-time database applications. The performance of concurrency control algorithms, distributed join algorithms and load balancing techniques for distributed database systems are all investigated, in addition to techniques such as main memory databases for achieving high performance. Another major aspect of the research is the development of extensible database systems, including the necessary storage management facilities and programming tools. The EXODUS system, under development with this research, is intended to support the rapid implementation of database management facilities for database applications that are poorly served by current relational database systems. The EXODUS group is building "database system generator" software, including a set of versatile kernel database facilities and software tools to simplify the construction of customized database management systems. Research on distributed database systems and their performance is vital for guiding the designers of future database systems. While relational database systems are now a commercial reality, and their distributed counterparts are starting to become available, significant challenges remain for understanding and improving their performance. Extensible database systems such as those investigated here are essential to go beyond relational databases and support a wide range of emerging database applications: computer assisted design and manufacturing (CAD/CAM), computer-aided software engineering, scientific data management, image/voice data management, and data-intensive AI applications. The success of large-scale efforts in these areas will depend on flexible, high-performance data management facilities such as those developed in EXODUS project.