FIFO indexes for decomposable problems

Cheng Sheng, Yufei Tao
{"title":"FIFO indexes for decomposable problems","authors":"Cheng Sheng, Yufei Tao","doi":"10.1145/1989284.1989291","DOIUrl":null,"url":null,"abstract":"This paper studies first-in-first-out (FIFO) indexes, each of which manages a dataset where objects are deleted in the same order as their insertions. We give a technique that converts a static data structure to a FIFO index for all decomposable problems, provided that the static structure can be constructed efficiently. We present FIFO access methods to solve several problems including half-plane search, nearest neighbor search, and extreme-point search. All of our structures consume linear space, and have optimal or near-optimal query cost.","PeriodicalId":92118,"journal":{"name":"Proceedings of the ... ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems. ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems","volume":"78 1","pages":"25-35"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the ... ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems. ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1989284.1989291","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

This paper studies first-in-first-out (FIFO) indexes, each of which manages a dataset where objects are deleted in the same order as their insertions. We give a technique that converts a static data structure to a FIFO index for all decomposable problems, provided that the static structure can be constructed efficiently. We present FIFO access methods to solve several problems including half-plane search, nearest neighbor search, and extreme-point search. All of our structures consume linear space, and have optimal or near-optimal query cost.
可分解问题的FIFO索引
本文研究了先进先出(FIFO)索引,其中每个索引管理一个数据集,其中对象的删除顺序与插入顺序相同。我们给出了一种将静态数据结构转换为所有可分解问题的FIFO索引的技术,前提是静态结构可以有效地构建。针对半平面搜索、最近邻搜索和极值点搜索等问题,提出了先进先出存取方法。我们所有的结构都消耗线性空间,并且具有最优或接近最优的查询成本。
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 求助全文
来源期刊
CiteScore
4.40
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:481959085
Book学术官方微信