III: Small: DBMS+: Management System for the Next-Generation Database

III：小型：DBMS：下一代数据库管理系统

• 批准号: 1423124
• 负责人: Jun Yang
• 金额: $ 50万
• 依托单位: Duke University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-01 至 2018-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1423124&HistoricalAwards=false
• 关键词: III; Small; DBMS+; Management; System

A large number of data processing systems---including NoSQL systems, column-stores, MapReduce, data stream managers, complex event processors, in-memory databases, and others---have been developed in recent years. It can be hard for an application developer to pick one system when the needs of her application match the features of multiple of these systems. The choice becomes considerably harder when different components of an application fit the features of different systems. Considerable manual effort goes into creating and tuning such multi-system applications. Current applications are coupled tightly with individual systems, which makes dealing with changes to application execution requirements or workload characteristics nontrivial. Moreover, an application's data and workload properties may change over time, often in unpredictable and bursty ways. Consequently, the system that is best for an application can change over time. Adapting to change can be hard when application development is coupled tightly with any individual system.This project will design, implement, and evaluate a new breed of Database Management Systems that is termed DBMS+. While conventional Database Management Systems (DBMS) support applications with a single execution engine and a storage engine, a DBMS+ integrates and manages multiple compute and storage systems. An application specifies its execution requirements on aspects like performance, availability, consistency, change, and cost to the DBMS+ declaratively. For all requests (e.g., queries) made by the application, the DBMS+ will select the execution plan that meets the application's requirements best. A novel aspect of the execution plan in a DBMS+ is that the plan includes the selection of one or more specialized systems. The optimizer in the DBMS+ is responsible for determining the most suitable execution plan, which includes choosing the most suitable compute and storage systems for a given application and its requirements. The DBMS+ approach has the potential to address the hurdles that application developers and system administrators face from the vast and growing number of specialized systems.For further information, see the project web site at: http://www.cs.duke.edu/starfish/cyclops/

近年来，开发了大量的数据处理系统，包括 NoSQL 系统、列存储、MapReduce、数据流管理器、复杂事件处理器、内存数据库等。当应用程序的需求与多个系统的功能相匹配时，应用程序开发人员可能很难选择一个系统。当应用程序的不同组件适合不同系统的功能时，选择就变得相当困难。创建和调整此类多系统应用程序需要大量的手动工作。当前的应用程序与各个系统紧密耦合，这使得处理应用程序执行要求或工作负载特征的变化变得非常重要。此外，应用程序的数据和工作负载属性可能会随着时间的推移而发生变化，通常以不可预测和突发的方式发生变化。因此，最适合应用程序的系统可能会随着时间而改变。当应用程序开发与任何单独的系统紧密耦合时，适应变化可能会很困难。该项目将设计、实现和评估一种称为 DBMS+ 的新型数据库管理系统。传统的数据库管理系统 (DBMS) 支持具有单个执行引擎和存储引擎的应用程序，而 DBMS+ 则集成并管理多个计算和存储系统。应用程序以声明方式指定 DBMS+ 的性能、可用​​性、一致性、更改和成本等方面的执行要求。对于应用程序发出的所有请求（例如查询），DBMS+ 将选择最能满足应用程序要求的执行计划。 DBMS+ 中执行计划的一个新颖之处是该计划包括选择一个或多个专用系统。 DBMS+ 中的优化器负责确定最合适的执行计划，其中包括为给定应用程序及其要求选择最合适的计算和存储系统。 DBMS+ 方法有可能解决应用程序开发人员和系统管理员因数量庞大且不断增长的专用系统而面临的障碍。有关更多信息，请访问该项目网站：http://www.cs.duke.edu/海星/独眼巨人/