The Case for Object Databases in Cloud Data Management

Kurzanzeige
dc.contributor.authorGrossniklaus, Michael
dc.date.accessioned2013-11-29T09:05:27Zdeu
dc.date.available2013-11-29T09:05:27Zdeu
dc.date.issued2010
dc.description.abstractWith the emergence of cloud computing, new data management requirements have surfaced. Currently, these challenges are studied exclusively in the setting of relational databases. We believe that there exist strong indicators that the full potential of cloud computing data management can only be leveraged by exploiting object database technologies. Object databases are a popular choice for analytical data management applications which are predicted to profit most from cloud computing. Furthermore, objects and relationships might be useful units to model and implement data partitions, while, at the same time, helping to reduce join processing. Finally, the service-oriented view taken by cloud computing is in its nature a close match to object models. In this position paper, we examine the challenges of cloud computing data management and show opportunities for object database technologies based on these requirements.eng
dc.description.versionpublished
dc.identifier.citationObjects and databases : third international conference, ICOODB 2010, Frankfurt/Main, Germany, September 28 - 30, 2010; proceedings / Alan Dearle ... (eds.). - Berlin [u.a.] : Springer, 2010. - S. 25-39. - (Lecture notes in computer science ; 6348). - ISBN 978-3-642-16091-2deu
dc.identifier.doi10.1007/978-3-642-16092-9_6deu
dc.identifier.ppn398122172deu
dc.identifier.urihttp://kops.uni-konstanz.de/handle/123456789/25271
dc.language.isoengdeu
dc.legacy.dateIssued2013-11-29deu
dc.rightsterms-of-usedeu
dc.rights.urihttps://rightsstatements.org/page/InC/1.0/deu
dc.subject.ddc004deu
dc.titleThe Case for Object Databases in Cloud Data Managementeng
dc.typeINPROCEEDINGSdeu
dspace.entity.typePublication
kops.citation.bibtex
@inproceedings{Grossniklaus2010Objec-25271,
  year={2010},
  doi={10.1007/978-3-642-16092-9_6},
  title={The Case for Object Databases in Cloud Data Management},
  number={6348},
  isbn={978-3-642-16091-2},
  publisher={Springer Berlin Heidelberg},
  address={Berlin, Heidelberg},
  series={Lecture Notes in Computer Science},
  booktitle={Objects and Databases},
  pages={25--39},
  editor={Dearle, Alan and Zicari, Roberto V.},
  author={Grossniklaus, Michael}
}
kops.citation.iso690GROSSNIKLAUS, Michael, 2010. The Case for Object Databases in Cloud Data Management. In: DEARLE, Alan, ed., Roberto V. ZICARI, ed.. Objects and Databases. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010, pp. 25-39. Lecture Notes in Computer Science. 6348. ISBN 978-3-642-16091-2. Available under: doi: 10.1007/978-3-642-16092-9_6deu
kops.citation.iso690GROSSNIKLAUS, Michael, 2010. The Case for Object Databases in Cloud Data Management. In: DEARLE, Alan, ed., Roberto V. ZICARI, ed.. Objects and Databases. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010, pp. 25-39. Lecture Notes in Computer Science. 6348. ISBN 978-3-642-16091-2. Available under: doi: 10.1007/978-3-642-16092-9_6eng
kops.citation.rdf
<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/25271">
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2013-11-29T09:05:27Z</dc:date>
    <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/25271"/>
    <dcterms:abstract xml:lang="eng">With the emergence of cloud computing, new data management requirements have surfaced. Currently, these challenges are studied exclusively in the setting of relational databases. We believe that there exist strong indicators that the full potential of cloud computing data management can only be leveraged by exploiting object database technologies. Object databases are a popular choice for analytical data management applications which are predicted to profit most from cloud computing. Furthermore, objects and relationships might be useful units to model and implement data partitions, while, at the same time, helping to reduce join processing. Finally, the service-oriented view taken by cloud computing is in its nature a close match to object models. In this position paper, we examine the challenges of cloud computing data management and show opportunities for object database technologies based on these requirements.</dcterms:abstract>
    <dcterms:bibliographicCitation>Objects and databases : third international conference, ICOODB 2010, Frankfurt/Main, Germany, September 28 - 30, 2010; proceedings / Alan Dearle ... (eds.). - Berlin [u.a.] : Springer, 2010. - S. 25-39. - (Lecture notes in computer science ; 6348). - ISBN 978-3-642-16091-2</dcterms:bibliographicCitation>
    <dc:rights>terms-of-use</dc:rights>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2013-11-29T09:05:27Z</dcterms:available>
    <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
    <dc:creator>Grossniklaus, Michael</dc:creator>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/25271/1/Grossniklaus_252719.pdf"/>
    <dcterms:issued>2010</dcterms:issued>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/25271/1/Grossniklaus_252719.pdf"/>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:contributor>Grossniklaus, Michael</dc:contributor>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dc:language>eng</dc:language>
    <dcterms:title>The Case for Object Databases in Cloud Data Management</dcterms:title>
  </rdf:Description>
</rdf:RDF>
kops.description.openAccessopenaccessgreen
kops.flag.knbibliographyfalse
kops.identifier.nbnurn:nbn:de:bsz:352-252719deu
kops.sourcefieldDEARLE, Alan, ed., Roberto V. ZICARI, ed.. <i>Objects and Databases</i>. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010, pp. 25-39. Lecture Notes in Computer Science. 6348. ISBN 978-3-642-16091-2. Available under: doi: 10.1007/978-3-642-16092-9_6deu
kops.sourcefield.plainDEARLE, Alan, ed., Roberto V. ZICARI, ed.. Objects and Databases. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010, pp. 25-39. Lecture Notes in Computer Science. 6348. ISBN 978-3-642-16091-2. Available under: doi: 10.1007/978-3-642-16092-9_6deu
kops.sourcefield.plainDEARLE, Alan, ed., Roberto V. ZICARI, ed.. Objects and Databases. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010, pp. 25-39. Lecture Notes in Computer Science. 6348. ISBN 978-3-642-16091-2. Available under: doi: 10.1007/978-3-642-16092-9_6eng
kops.submitter.emailchristoph.petzmann@uni-konstanz.dedeu
relation.isAuthorOfPublication46c6c988-9829-474d-98d1-e54ae94d3ae2
relation.isAuthorOfPublication.latestForDiscovery46c6c988-9829-474d-98d1-e54ae94d3ae2
source.bibliographicInfo.fromPage25
source.bibliographicInfo.seriesNumber6348
source.bibliographicInfo.toPage39
source.contributor.editorDearle, Alan
source.contributor.editorZicari, Roberto V.
source.identifier.isbn978-3-642-16091-2
source.publisherSpringer Berlin Heidelberg
source.publisher.locationBerlin, Heidelberg
source.relation.ispartofseriesLecture Notes in Computer Science
source.titleObjects and Databases

Dateien

Originalbündel

Gerade angezeigt 1 - 1 von 1
Vorschaubild nicht verfügbar
Name:
Grossniklaus_252719.pdf
Größe:
310.18 KB
Format:
Adobe Portable Document Format
Grossniklaus_252719.pdf
Grossniklaus_252719.pdfGröße: 310.18 KBDownloads: 674

Lizenzbündel

Gerade angezeigt 1 - 1 von 1
Vorschaubild nicht verfügbar
Name:
license.txt
Größe:
1.92 KB
Format:
Plain Text
Beschreibung:
license.txt
license.txtGröße: 1.92 KBDownloads: 0

Sammlungen

Informatik und Informationswissenschaft: Publikationen