Data windows: A data-centric approach for query execution in memory-resident databases

Jayaprakash Pisharath*, Alok Choudhary, Mahmut Kandemir

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Structured embedded databases are currently becoming an integrated part of embedded systems, thus, enabling higher standards in system automation. These embedded databases are typically memory resident. In this paper, we present a data-centric approach called data windowing that optimizes multiple queries issued to an embedded database. Traditional approaches improve the performance by optimizing the control flow of operations, whereas we target performance improvements based on the data that is brought into the system.

Original languageEnglish (US)
Title of host publicationProceedings - Design, Automation and Test in Europe Conference and Exhibition, DATE 04
EditorsG. Gielen, J. Figueras
Pages1352-1353
Number of pages2
DOIs
StatePublished - 2004
EventProceedings - Design, Automation and Test in Europe Conference and Exhibition, DATE 04 - Paris, France
Duration: Feb 16 2004Feb 20 2004

Publication series

NameProceedings - Design, Automation and Test in Europe Conference and Exhibition
Volume2

Other

OtherProceedings - Design, Automation and Test in Europe Conference and Exhibition, DATE 04
Country/TerritoryFrance
CityParis
Period2/16/042/20/04

ASJC Scopus subject areas

  • General Engineering

Fingerprint

Dive into the research topics of 'Data windows: A data-centric approach for query execution in memory-resident databases'. Together they form a unique fingerprint.

Cite this