Evaluating compressed indexes in DBMS

Oz Anani, Gal Lushi, Moshik Hershcovitch, Adam Morrison

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In-memory database management systems (DBMSs) are an essential part of real-world applications. They store their entire data in memory, and thus their performance is much higher than standard DBMS that uses slow block-based storage. The memory footprint is the essential resource in such systems, while the database indexes consume a large portion of the memory and can reach up to 50% of total memory consumption [2].

Original languageEnglish
Title of host publicationSYSTOR 2022 - Proceedings of the 15th ACM International Conference on Systems and Storage Conference
PublisherAssociation for Computing Machinery, Inc
Pages149
Number of pages1
ISBN (Electronic)9781450393805
DOIs
StatePublished - 6 Jun 2022
Event15th ACM International Systems and Storage Conference, SYSTOR 2022 - Virtual, Online, Israel
Duration: 13 Jun 202215 Jun 2022

Publication series

NameSYSTOR 2022 - Proceedings of the 15th ACM International Conference on Systems and Storage Conference

Conference

Conference15th ACM International Systems and Storage Conference, SYSTOR 2022
Country/TerritoryIsrael
CityVirtual, Online
Period13/06/2215/06/22

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