A multiprocessor organization for very large relational database

J. Zhu, J. Han, A. Hurson
{"title":"A multiprocessor organization for very large relational database","authors":"J. Zhu, J. Han, A. Hurson","doi":"10.1109/MWSCAS.1991.251974","DOIUrl":null,"url":null,"abstract":"The authors present a decentralized architecture for a multiprocessor database machine which supports multiple-user, online, very large relational database systems. A corresponding processor allocation strategy is proposed which applies the dataflow technique to distribute processors across all nodes of the vertically layered query tree and to pipeline pages of intermediate relation between them. Simulations show that the query execution time is 20%-25% less than that in the DIRECT database machine. The time used to process the messages in the authors' database machine is almost 40% less than the time used in DIRECT. The simulation also indicated that the machine's structure is less sensitive to the I/O bound than the DIRECT machine.<<ETX>>","PeriodicalId":6453,"journal":{"name":"[1991] Proceedings of the 34th Midwest Symposium on Circuits and Systems","volume":"41 1","pages":"970-973 vol.2"},"PeriodicalIF":0.0000,"publicationDate":"1991-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1991] Proceedings of the 34th Midwest Symposium on Circuits and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MWSCAS.1991.251974","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

The authors present a decentralized architecture for a multiprocessor database machine which supports multiple-user, online, very large relational database systems. A corresponding processor allocation strategy is proposed which applies the dataflow technique to distribute processors across all nodes of the vertically layered query tree and to pipeline pages of intermediate relation between them. Simulations show that the query execution time is 20%-25% less than that in the DIRECT database machine. The time used to process the messages in the authors' database machine is almost 40% less than the time used in DIRECT. The simulation also indicated that the machine's structure is less sensitive to the I/O bound than the DIRECT machine.<>
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
用于非常大的关系数据库的多处理器组织
作者提出了一种多处理器数据库机的分散式架构,它支持多用户、在线、非常大的关系数据库系统。提出了一种相应的处理器分配策略,该策略采用数据流技术将处理器分布在垂直分层查询树的所有节点上,并将处理器分布在节点之间具有中间关系的管道页面上。仿真结果表明,与DIRECT数据库机器相比,查询执行时间减少了20%-25%。在作者的数据库机器中处理消息所用的时间几乎比DIRECT所用的时间少40%。仿真还表明,与DIRECT机器相比,该机器的结构对I/O绑定的敏感性较低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Linville power plane stability and bandwidth improvements in a minimum-drift video amplifier Computer-aided large-signal analysis-and-control of boost converter-based switching regulators A SPICE macromodel for an adjustable positive voltage regulator An algorithm for lossless transmission line analysis using bounce charts Application of digital microprocessor technology to power metering in the presence of harmonics
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1