Hybrid In-Memory and On-Disk Tables for Speeding-Up Table Accesses
Identifieur interne : 000573 ( Istex/Corpus ); précédent : 000572; suivant : 000574Hybrid In-Memory and On-Disk Tables for Speeding-Up Table Accesses
Auteurs : Joan Guisado-Gámez ; Antoni Wolski ; Calisto Zuzarte ; Josep-Lluís Larriba-Pey ; Victor Muntés-MuleroSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2010.
Abstract
Abstract: Main memory database management systems have become essential for response-time-bounded applications, such as those in telecommunications systems or Internet, where users frequently access a table in order to get information or check whether an element exists, and require the response to be as fast as possible. Continuous data growth is making it unaffordable to keep entire relations in memory and some commercial applications provide two different engines to handle data in-memory and on-disk separately. However, these systems assign each table to one of these engines, forcing large relations to be kept on secondary storage. In this paper we present TwinS — a hybrid database management system that allows managing hybrid tables, i.e. tables partially managed by both engines. We show that we can reduce response time when accessing a large table in the database. All our experiments have been run on a dual-engine DBMS: IBM®SolidDB®.
Url:
DOI: 10.1007/978-3-642-15364-8_17
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ISTEX:DA869BC2E851E59C35E094D8F4B0415BF707D364Le document en format XML
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Continuous data growth is making it unaffordable to keep entire relations in memory and some commercial applications provide two different engines to handle data in-memory and on-disk separately. However, these systems assign each table to one of these engines, forcing large relations to be kept on secondary storage. In this paper we present TwinS — a hybrid database management system that allows managing hybrid tables, i.e. tables partially managed by both engines. We show that we can reduce response time when accessing a large table in the database. 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Science</OrgName><OrgAddress><City>Rehovot</City><Country>Israel</Country></OrgAddress></Affiliation><Affiliation ID="Aff8"><OrgName>University of Bern</OrgName><OrgAddress><City>Bern</City><Country>Switzerland</Country></OrgAddress></Affiliation><Affiliation ID="Aff9"><OrgName>Indian Institute of Technology</OrgName><OrgAddress><City>Madras</City><Country>India</Country></OrgAddress></Affiliation><Affiliation ID="Aff10"><OrgName>University of Dortmund</OrgName><OrgAddress><City>Dortmund</City><Country>Germany</Country></OrgAddress></Affiliation><Affiliation ID="Aff11"><OrgName>Massachusetts Institute of Technology</OrgName><OrgAddress><State>MA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff12"><OrgName>University of California</OrgName><OrgAddress><City>Los Angeles</City><State>CA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff13"><OrgName>University of California</OrgName><OrgAddress><City>Berkeley</City><State>CA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff14"><OrgName>Rice University</OrgName><OrgAddress><City>Houston</City><State>TX</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff15"><OrgName>Max-Planck Institute of Computer Science</OrgName><OrgAddress><City>Saarbrücken</City><Country>Germany</Country></OrgAddress></Affiliation></EditorGroup></SeriesHeader><Book Language="En"><BookInfo BookProductType="Proceedings" ContainsESM="No" Language="En" MediaType="eBook" NumberingDepth="2" NumberingStyle="ContentOnly" OutputMedium="All" TocLevels="0"><BookID>978-3-642-15364-8</BookID><BookTitle>Database and Expert Systems Applications</BookTitle><BookSubTitle>21st International Conference, DEXA 2010, Bilbao, Spain, August 30 - September 3, 2010, Proceedings, Part I</BookSubTitle><BookVolumeNumber>6261</BookVolumeNumber><BookSequenceNumber>6261</BookSequenceNumber><BookDOI>10.1007/978-3-642-15364-8</BookDOI><BookTitleID>213114</BookTitleID><BookPrintISBN>978-3-642-15363-1</BookPrintISBN><BookElectronicISBN>978-3-642-15364-8</BookElectronicISBN><BookChapterCount>44</BookChapterCount><BookCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2010</CopyrightYear></BookCopyright><BookSubjectGroup><BookSubject Code="I" Type="Primary">Computer Science</BookSubject><BookSubject Code="I18040" Priority="1" Type="Secondary">Information Systems Applications (incl.Internet)</BookSubject><BookSubject Code="I21017" Priority="2" Type="Secondary">Artificial Intelligence (incl. 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Universidades, 24</Street><Postcode>48007</Postcode><City>Bilbao</City><Country>Spain</Country></OrgAddress></Affiliation><Affiliation ID="Aff17"><OrgDivision>Institut de Recherche en Informatique de Toulouse (IRIT)</OrgDivision><OrgName>Paul Sabatier University</OrgName><OrgAddress><Street>118, route de Narbonne</Street><Postcode>31062</Postcode><City>Toulouse Cedex</City><Country>France</Country></OrgAddress></Affiliation><Affiliation ID="Aff18"><OrgDivision>Faculty of Computer Science, Department of Distributed Systems and Multimedia Systems</OrgDivision><OrgName>University of Vienna</OrgName><OrgAddress><Street>Liebiggasse 4/3-4</Street><Postcode>1010</Postcode><City>Vienna</City><Country>Austria</Country></OrgAddress></Affiliation></EditorGroup></BookHeader><Part ID="Part5"><PartInfo TocLevels="0"><PartID>5</PartID><PartSequenceNumber>5</PartSequenceNumber><PartTitle>Decision Support Systems and Performance (Short Papers)</PartTitle><PartChapterCount>4</PartChapterCount><PartContext><SeriesID>558</SeriesID><BookTitle>Database and Expert Systems Applications</BookTitle></PartContext></PartInfo><Chapter ID="Chap17" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingDepth="2" NumberingStyle="ContentOnly" TocLevels="0"><ChapterID>17</ChapterID><ChapterDOI>10.1007/978-3-642-15364-8_17</ChapterDOI><ChapterSequenceNumber>17</ChapterSequenceNumber><ChapterTitle Language="En">Hybrid In-Memory and On-Disk Tables for Speeding-Up Table Accesses</ChapterTitle><ChapterFirstPage>231</ChapterFirstPage><ChapterLastPage>240</ChapterLastPage><ChapterCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2010</CopyrightYear></ChapterCopyright><ChapterGrants Type="Regular"><MetadataGrant Grant="OpenAccess"></MetadataGrant><AbstractGrant Grant="OpenAccess"></AbstractGrant><BodyPDFGrant Grant="Restricted"></BodyPDFGrant><BodyHTMLGrant Grant="Restricted"></BodyHTMLGrant><BibliographyGrant Grant="Restricted"></BibliographyGrant><ESMGrant Grant="Restricted"></ESMGrant></ChapterGrants><ChapterContext><SeriesID>558</SeriesID><PartID>5</PartID><BookID>978-3-642-15364-8</BookID><BookTitle>Database and Expert Systems Applications</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff19"><AuthorName DisplayOrder="Western"><GivenName>Joan</GivenName><FamilyName>Guisado-Gámez</FamilyName></AuthorName><Contact><Email>joan@ac.upc.edu</Email></Contact></Author><Author AffiliationIDS="Aff20"><AuthorName DisplayOrder="Western"><GivenName>Antoni</GivenName><FamilyName>Wolski</FamilyName></AuthorName><Contact><Email>antoni.wolski@fi.ibm.com</Email></Contact></Author><Author AffiliationIDS="Aff21"><AuthorName DisplayOrder="Western"><GivenName>Calisto</GivenName><FamilyName>Zuzarte</FamilyName></AuthorName><Contact><Email>calisto@ca.ibm.com</Email></Contact></Author><Author AffiliationIDS="Aff19"><AuthorName DisplayOrder="Western"><GivenName>Josep-Lluís</GivenName><FamilyName>Larriba-Pey</FamilyName></AuthorName><Contact><Email>larri@ac.upc.edu</Email></Contact></Author><Author AffiliationIDS="Aff19"><AuthorName DisplayOrder="Western"><GivenName>Victor</GivenName><FamilyName>Muntés-Mulero</FamilyName></AuthorName><Contact><Email>vmuntes@ac.upc.edu</Email></Contact></Author><Affiliation ID="Aff19"><OrgDivision>DAMA-UPC, Departament d’Arquitectura de Computadors</OrgDivision><OrgName>Universitat Politècnica de Catalunya</OrgName><OrgAddress><Street>Campus Nord-UPC</Street><Postcode>08034</Postcode><City>Barcelona</City></OrgAddress></Affiliation><Affiliation ID="Aff20"><OrgName>IBM Helsinki Laboratory</OrgName><OrgAddress><Country>Finland</Country></OrgAddress></Affiliation><Affiliation ID="Aff21"><OrgName>IBM Toronto Laboratory</OrgName><OrgAddress><City>Markham</City><State>Ontario</State><Country>Canada</Country><Postcode>L6G 1C7</Postcode></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>Main memory database management systems have become essential for response-time-bounded applications, such as those in telecommunications systems or Internet, where users frequently access a table in order to get information or check whether an element exists, and require the response to be as fast as possible. Continuous data growth is making it unaffordable to keep entire relations in memory and some commercial applications provide two different engines to handle data in-memory and on-disk separately. However, these systems assign each table to one of these engines, forcing large relations to be kept on secondary storage.</Para><Para>In this paper we present TwinS — a hybrid database management system that allows managing hybrid tables, i.e. tables partially managed by both engines. We show that we can reduce response time when accessing a large table in the database. All our experiments have been run on a dual-engine DBMS: IBM<Superscript>®</Superscript>SolidDB<Superscript>®</Superscript>.</Para></Abstract><KeywordGroup Language="En"><Heading>Keywords</Heading><Keyword>Hybrid tables</Keyword><Keyword>Main memory databases</Keyword><Keyword>DBMS performance</Keyword></KeywordGroup></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Hybrid In-Memory and On-Disk Tables for Speeding-Up Table Accesses</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Hybrid In-Memory and On-Disk Tables for Speeding-Up Table Accesses</title></titleInfo><name type="personal"><namePart type="given">Joan</namePart><namePart type="family">Guisado-Gámez</namePart><affiliation>DAMA-UPC, Departament d’Arquitectura de Computadors, Universitat Politècnica de Catalunya, Campus Nord-UPC, 08034, Barcelona</affiliation><affiliation>E-mail: joan@ac.upc.edu</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Antoni</namePart><namePart type="family">Wolski</namePart><affiliation>IBM Helsinki Laboratory, Finland</affiliation><affiliation>E-mail: antoni.wolski@fi.ibm.com</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Calisto</namePart><namePart type="family">Zuzarte</namePart><affiliation>IBM Toronto Laboratory, L6G 1C7, Markham, Ontario, Canada</affiliation><affiliation>E-mail: calisto@ca.ibm.com</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Josep-Lluís</namePart><namePart type="family">Larriba-Pey</namePart><affiliation>DAMA-UPC, Departament d’Arquitectura de Computadors, Universitat Politècnica de Catalunya, Campus Nord-UPC, 08034, Barcelona</affiliation><affiliation>E-mail: larri@ac.upc.edu</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Victor</namePart><namePart type="family">Muntés-Mulero</namePart><affiliation>DAMA-UPC, Departament d’Arquitectura de Computadors, Universitat Politècnica de Catalunya, Campus Nord-UPC, 08034, Barcelona</affiliation><affiliation>E-mail: vmuntes@ac.upc.edu</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="conference" displayLabel="OriginalPaper"></genre><originInfo><publisher>Springer Berlin Heidelberg</publisher><place><placeTerm type="text">Berlin, Heidelberg</placeTerm></place><dateIssued encoding="w3cdtf">2010</dateIssued><copyrightDate encoding="w3cdtf">2010</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">Abstract: Main memory database management systems have become essential for response-time-bounded applications, such as those in telecommunications systems or Internet, where users frequently access a table in order to get information or check whether an element exists, and require the response to be as fast as possible. Continuous data growth is making it unaffordable to keep entire relations in memory and some commercial applications provide two different engines to handle data in-memory and on-disk separately. However, these systems assign each table to one of these engines, forcing large relations to be kept on secondary storage. In this paper we present TwinS — a hybrid database management system that allows managing hybrid tables, i.e. tables partially managed by both engines. We show that we can reduce response time when accessing a large table in the database. 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