III-COR: Staged Database Systems: Maximizing Locality through Service-based Data Management

提案编号：iis -0713409提案标题：“分级数据库系统：通过基于服务的数据管理最大化局地性”PI: Anastasia ailamaki隶属关系：计算机科学系卡内基梅隆大学计算机科学学院数据库软件架构传统上遵循客户端-服务器范式，其中请求被视为进程，连接交换由操作系统执行。不幸的是，微架构设计走向了相反的方向：内存层次越来越深，需要更好的软件局部性，芯片多处理器实现了前所未有的并行度，这是当前数据库系统无法实现的。该提案详细介绍了分阶段数据库系统的设计、实现和评估，该系统将面向服务的体系结构（SOA）范例用于高性能关系数据库管理系统（DBMS）。新系统将(a)缓解DBMS软件行为与现代CPU架构特征之间的不匹配，(b)为优化资源调度提供丰富的基础设施，(c)提高多处理器和工作站网络上数据管理的可扩展性和可配置性。该项目的智力价值在于(a)它促进了跨多个领域（数据库、编译器、计算机体系结构、性能建模）的跨学科工作，以及(b)源于该结果的科学论文可能会影响人们对构建大型系统（不仅仅是数据库系统）的思考方式。这样一个系统将对数百万人产生直接的社会影响，他们现在直接或间接地通过web应用程序和服务使用数据库后端。最后，该项目将具有重要的教育影响，因为它将作为(a)培养研究生构建系统并在真实系统测试平台和模拟中进行实验的工具，(b)开发新的跨学科课程，以及(c)通过讲座，研讨会和出版物传播研究成果。最后，长期以来，PI一直致力于培养来自弱势群体的学生。她一直在提供研讨会演讲，组织小组讨论，并定期参加格蕾丝·霍珀计算机女性会议。她也有许多女性博士和实习生，她打算继续投入资源，吸引女性从事计算机系统研究。有关该项目的更多信息可以在网站上找到：http://www.cs.cmu.edu/~StagedDB/

Proposal Number: IIS-0713409Proposal Title: "Staged Database Systems: Maximizing Locality through Service-based Data Management"PI: Anastasia AilamakiAffiliation: Computer Science DepartmentSchool of Computer ScienceCarnegie Mellon UniversityDatabase software architectures have traditionally followed the client-server paradigm, where requests are treated as processes and contect-switching is performed by the operating system. Unfortunately, microarchitectural design moves towards the opposite direction: Memory hierarchies are becoming deeper, requiring better software locality, and chip multiprocessors enable unprecedented degrees of parallelism, unacheavable by current database systems.The proposal details the design, implementation, and evaluation of a Staged Database System, which uses the Service-Oriented Architectures(SOA) paradigm for high-performance relational Database Management Systems (DBMS). The new system will (a) alleviate the mismatch between DBMS software behavior and modern CPU architectural features, (b) provide a rich infrastructure for optimizing resource scheduling, and(c) improve scalability and configurability of data management on multiprocessors and networks of workstations.The intellectual merit of the project is in that (a) it promotes interdisciplinary work across several areas (databases, compilers, computer architecture, performance modeling), and (b) that the scientific papers stemming from the results will likely influence the way people think about building large systems (not only database systems). Such a system will have direct societal impact to the millions of people who are now using database backends directly or indirectly through web applications and services. Finally, the project will have significant educational impact, as it will serve as a vehicle to (a) train graduate students to building systems and to experiment both in a real system testbed and in simulation, (b) develop new interdisciplinary courses, and (c) disseminate the research results through talks, seminars, and publications.Finally, the PI has long demonstrated her dedication to training students from underrepresented groups. She has been offering seminar talks, organized panels, and regularly attended the Grace Hopper Conference for Women in Computing. She has also had numerous female PhD and intern students, and she intends to continue devoting resources to attracting women to computer systems research.Further information concerning the project can be found at the web page:http://www.cs.cmu.edu/~StagedDB/