用并行资源处理m树

P. Zezula, P. Savino, F. Rabitti, Giuseppe Amato, P. Ciaccia
{"title":"用并行资源处理m树","authors":"P. Zezula, P. Savino, F. Rabitti, Giuseppe Amato, P. Ciaccia","doi":"10.1109/RIDE.1998.658289","DOIUrl":null,"url":null,"abstract":"The problem of the design and implementation of parallel metric tree indexes, called M-trees, is elaborated. Four different object declustering techniques are proposed and tested in order to get a sufficient evidence needed for specifying the pros and cons of their application. In general, the obtained I/O speedup and scaleup levels are high. A method for dealing with the CPU parallelism is also proposed and its speedup and scaleup experimentally tested.","PeriodicalId":199347,"journal":{"name":"Proceedings Eighth International Workshop on Research Issues in Data Engineering. Continuous-Media Databases and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"26","resultStr":"{\"title\":\"Processing M-trees with parallel resources\",\"authors\":\"P. Zezula, P. Savino, F. Rabitti, Giuseppe Amato, P. Ciaccia\",\"doi\":\"10.1109/RIDE.1998.658289\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The problem of the design and implementation of parallel metric tree indexes, called M-trees, is elaborated. Four different object declustering techniques are proposed and tested in order to get a sufficient evidence needed for specifying the pros and cons of their application. In general, the obtained I/O speedup and scaleup levels are high. A method for dealing with the CPU parallelism is also proposed and its speedup and scaleup experimentally tested.\",\"PeriodicalId\":199347,\"journal\":{\"name\":\"Proceedings Eighth International Workshop on Research Issues in Data Engineering. Continuous-Media Databases and Applications\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-02-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"26\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Eighth International Workshop on Research Issues in Data Engineering. Continuous-Media Databases and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RIDE.1998.658289\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Eighth International Workshop on Research Issues in Data Engineering. Continuous-Media Databases and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RIDE.1998.658289","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 26

摘要

阐述了并行度量树索引m -树的设计与实现问题。本文提出并测试了四种不同的对象聚类技术,以获得足够的证据来说明其应用的优缺点。通常,获得的I/O加速和缩放级别很高。提出了一种处理CPU并行性的方法,并进行了加速和放大实验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Processing M-trees with parallel resources
The problem of the design and implementation of parallel metric tree indexes, called M-trees, is elaborated. Four different object declustering techniques are proposed and tested in order to get a sufficient evidence needed for specifying the pros and cons of their application. In general, the obtained I/O speedup and scaleup levels are high. A method for dealing with the CPU parallelism is also proposed and its speedup and scaleup experimentally tested.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信