In-memory Representations of Databases via Succinct Data Structures: Tutorial Abstract

R. Raman
{"title":"In-memory Representations of Databases via Succinct Data Structures: Tutorial Abstract","authors":"R. Raman","doi":"10.1145/3196959.3196992","DOIUrl":null,"url":null,"abstract":"In recent years, the field of succinct data structures (SDS) has grown rapidly. SDS store data in main memory space that approaches an information-theoretic minimum, and support operations on the data with little or no slow-down compared to their conventional counterparts. In practice, an SDS uses one to two orders of magnitude less main memory than a conventional data structure. For this reason, SDS are becoming a popular approach for storing data that is only somewhat bigger than main memory. This tutorial explores the fundamentals of SDS and their applications to a variety of database problems.","PeriodicalId":344370,"journal":{"name":"Proceedings of the 37th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems","volume":"43 10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 37th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3196959.3196992","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

In recent years, the field of succinct data structures (SDS) has grown rapidly. SDS store data in main memory space that approaches an information-theoretic minimum, and support operations on the data with little or no slow-down compared to their conventional counterparts. In practice, an SDS uses one to two orders of magnitude less main memory than a conventional data structure. For this reason, SDS are becoming a popular approach for storing data that is only somewhat bigger than main memory. This tutorial explores the fundamentals of SDS and their applications to a variety of database problems.
通过简洁的数据结构在内存中表示数据库:教程摘要
近年来,简洁数据结构(SDS)领域发展迅速。SDS将数据存储在接近信息论最小值的主存空间中,并且与传统的对应程序相比,支持对数据的操作几乎没有或几乎没有减速。实际上,SDS使用的主存比传统数据结构少一到两个数量级。由于这个原因,SDS正在成为一种流行的方法,用于存储仅比主存稍大的数据。本教程探讨了SDS的基础知识及其在各种数据库问题中的应用。
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
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