Query Optimization In Distributed Database

目的是在一般的分布式数据库环境中构造高效的查询处理策略。不同地点的数据库管理系统可能不同；网络可以是本地网络，也可以是长网络。长途线路的运输网络或本地网络的互连；用户提交的查询可以是标准的数据库查询，也可以是允许推理的逻辑查询。正在开发的系统需要能够从先前处理的查询中学习重要的语义信息，以便能够有效地处理未来的查询。在这个项目中，将实施新的策略，并将其性能与其他研究人员提出的策略进行比较。将整合有用的战略。期望在以下领域取得成果：为语义查询优化获取知识的新技术；高效处理逻辑查询的新技术；并给出了高效查询处理的实现原理。这些结果将对高级查询处理系统的设计产生重要影响。

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.