快速局域网下分布式查询处理数据划分策略的研究

Research of Data Partition Strategy for Distributed Query Processing in Fast Local Networks

在分布式数据库系统中，查询处理的响应时间一直是一个热门话题。根据分布式数据库查询的固有并行性，可以利用数据划分来提高查询的并行处理程度、改进响应时间。文章提出了在快速局域网下、多数据库环境中，分布式查询处理的一种数据划分策略，旨在提高查询的响应时间。并通过模拟实验验证了算法的合理性。

In the field of distributed database systems,the query processing speed is one of the hot points of this field continuously.According to the intrinsic parallelism of distributed query,we can achieve degree of parellelism and improve response time using data partition.This paper describes a data partitioning strategy for distributed query processing in a multi-database environment in fast local networks.The purpose is to improve the response time of queries.We alse present a simulation study to test and verify the rationalism of our strategy.