Query Optimization In Distributed Database

分布式数据库中的查询优化

• 批准号: 8901789
• 负责人: Clement Yu
• 金额: $ 12.36万
• 依托单位: University of Illinois at Chicago
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1989
• 资助国家: 美国
• 起止时间: 1989-09-15 至 1992-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8901789&HistoricalAwards=false
• 关键词: Query; Optimization; Distributed; Database

The aim is to construct efficient query processing strategies in a general distributed database environment. The database management systems at different sites may bedifferent; the network can be a local network or a long.haulnetwork or an interconnection of local networks by longdistance lines; the queries submitted by the user can be standard database queries or logic queries, permitting deduction. The system being developed needs to be capable of learning important semantic information from previously processed queries so that future queries can be processed efficiently. In this project, new strategies will be implemented and their performance will be compared to strategies proposed by other researchers. An integration of useful strategies will be carried out. Results in the following areas are expected: new techniques to acquire knowledge for semantic query optimization; new techniques to process logic queries efficiently; and implementation principles for efficient query processing. These results will have a significant influence on the design of advanced query processing systems.

目的是构造高效的查询处理策略 在一般的分布式数据库环境中。数据库 不同地点的管理系统可能不同; 网络可以是本地网络或长途网络或 本地网络通过长途线路互连; 用户提交的查询可以是标准数据库查询 或逻辑查询，允许演绎。述系统被 开发人员需要能够学习重要的语义 从以前处理的查询中获取信息，以便将来 可以有效地处理查询。 在这个项目中，将实施新的战略， 绩效将与其他公司提出的战略进行比较。 研究人员将整合有用的策略 贯彻 预计将在以下领域取得成果： 获取语义查询优化的知识;新 有效处理逻辑查询的技术;以及 实现高效查询处理的原则。 这些结果将对设计产生重大影响 先进的查询处理系统。