首页> 外文会议>International Conference on Algorithms and Architectures for Parallel Processing >Multiple dependent queries execution using critical path scheduling in parallel databases
【24h】

Multiple dependent queries execution using critical path scheduling in parallel databases

机译:使用并行数据库中的关键路径调度执行多个依赖查询

获取原文

摘要

Multiple processors are employed to improve the performance of database systems and the parallelism can be exploited at three levels in query processing: intra-operation, inter-operation, and inter-query parallelism. Intra-operation and inter-operation parallelism are also called intra-query parallelism which has been studied extensively. In contrast, inter-query parallelism has received little attention particularly for multiple dependent queries. We develop a decompression algorithm, CPS, for coping with multiple dependent queries which are represented by a directed graph, and the algorithm makes use of the activity analysis of critical path analysis, and the resource scheduling and levelling of project management. A simulation study has been conducted and the results show that the proposed algorithm outperforms other existing methods and is able to provide a global optimal solution when the number of processors available is sufficient.
机译:采用多个处理器来改善数据库系统的性能,并且可以在查询处理中的三个级别利用并行性:帧内操作,互操作和查询间并行性。操作帧内和操作间并行性也称为查询的内部并行性,这已经广泛研究。相比之下,对多个依赖查询特别关注,临时间并行性很少。我们开发了一个解压缩算法CPS,用于应对由定向图表示的多个相关查询,并且该算法利用关键路径分析的活动分析,以及项目管理的资源调度和调平。已经进行了仿真研究,结果表明,该算法优于其他现有方法,并且当可用处理器的数量足够时,能够提供全局最佳解决方案。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号