So most research of distributed query optimization aim at reducing communication cost.
所以大多数研究分布式查询优化以减少通讯开销为目标。
The method of distributed query optimization is analyzed deeply which use semi-join algorithm and query tree disassembling.
并用实例证明其相对于没有进行分布式查询优化的算法可以大大减少网络上传输的数据量。
In the distributed query optimization, both local processing cost and transmission cost should be thought over simultaneously.
在分布式查询优化中，应同时考虑本地处理代价和传输代价。
To improve performance, federation frequently USES caching, materialized query tables (MQTs), and distributed query optimization and execution.
要改进性能，联合需要经常使用缓存、物理查询表(MQT)以及分布式查询优化和执行。
To solve that problem, OODT provides transparent access to distributed resources, functionality for data discovery and query optimization, as well as distributed processing and virtual archives.
为了解决那个问题，OODT提供了对分布式资源的透明访问、数据恢复和查询优化功能以及分布式处理和虚拟存档。
In this paper, we describe an algorithm, for query processing with semantic optimization in distributed relational database systems.
本文描述一个分布式关系数据库系统中具有语义优化的查询处理算法。
Query optimization: the goals of query optimization in distributed data integration system are different from those in traditional database system.
查询优化：分布式数据集成系统查询优化的目标与集中式数据库有所不同。
Query optimization: the goals of query optimization in distributed data integration system are different from those in traditional database system.
查询优化：分布式数据集成系统查询优化的目标与集中式数据库有所不同。
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