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AuthorSeybold, Danieldc.contributor.author
AuthorDomaschka, Jörgdc.contributor.author
Date of accession2019-11-06T12:48:16Zdc.date.accessioned
Available in OPARU since2019-11-06T12:48:16Zdc.date.available
Date of first publication2017-09-09dc.date.issued
AbstractThe database landscape has significantly evolved over the last decade as cloud computing enables to run distributed databases on virtually unlimited cloud resources. Hence, the already non-trivial task of selecting and deploying a distributed database system becomes more challenging. Database evaluation frameworks aim at easing this task by guiding the database selection and deployment decision. The evaluation of databases has evolved as well by moving the evaluation focus from performance to distribution aspects such as scalability and elasticity. This paper presents a cloud-centric analysis of distributed database evaluation frameworks based on evaluation tiers and framework requirements. It analysis eight well adopted evaluation frameworks. The results point out that the evaluation tiers performance, scalability, elasticity and consistency are well supported, in contrast to resource selection and availability. Further, the analysed frameworks do not support cloud-centric requirements but support classic evaluation requirements.dc.description.abstract
Languageendc.language.iso
PublisherUniversität Ulmdc.publisher
Earlier version10.18725/OPARU-4382dc.relation.isversionof
LicenseStandard (ohne Print-on-Demand)dc.rights
Link to license texthttps://oparu.uni-ulm.de/xmlui/license_opod_v1dc.rights.uri
Keyworddatabase evaluationdc.subject
Dewey Decimal GroupDDC 004 / Data processing & computer sciencedc.subject.ddc
LCSHDistributed databasesdc.subject.lcsh
LCSHDatabase management; Evaluationdc.subject.lcsh
LCSHCloud computingdc.subject.lcsh
LCSHNon-relational databasesdc.subject.lcsh
TitleIs distributed database evaluation cloud-ready?dc.title
Resource typeBeitrag zu einer Konferenzdc.type
VersionacceptedVersiondc.description.version
DOIhttp://dx.doi.org/10.18725/OPARU-22041dc.identifier.doi
URNhttp://nbn-resolving.de/urn:nbn:de:bsz:289-oparu-22097-6dc.identifier.urn
GNDCloud Computingdc.subject.gnd
GNDNoSQL-Datenbanksystemdc.subject.gnd
GNDVerteiltes Datenbanksystemdc.subject.gnd
GNDFormative Evaluationdc.subject.gnd
FacultyFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.affiliationGeneral
InstitutionInstitut für Organisation und Management von Informationssystemenuulm.affiliationSpecific
Peer reviewjauulm.peerReview
DCMI TypeTextuulm.typeDCMI
CategoryPublikationenuulm.category
DOI of original publication10.1007/978-3-319-67162-8_12dc.relation1.doi
Source - Title of sourceNew Trends in Databases and Information Systemssource.title
Quellenangabe - HerausgeberKirikova, Mārītesource.contributor.editor1
Source - Place of publicationSpringersource.publisher
Source - Volume767source.volume
Source - Year2017source.year
Source - From page100source.fromPage
Source - To page108source.toPage
Source - SerialCommunications in Computer and Information Science book seriessource.series
Source - ISSN1865-0929source.identifier.issn
Source - eISSN1865-0937source.identifier.eissn
Source - ISBN978-3-319-67162-8source.identifier.isbn
Source - ISBN978-3-319-67161-1source.identifier.isbn
EU project uulmCloudSocket / Business and IT-Cloud Alignment using a Smart Socket / EC / H2020 / 644690uulm.projectEU
EU project uulmMELODIC / Multi-cloud Execution-ware for Large-scale Optimized Data-Intensive Computing / EC / H2020 / 731664uulm.projectEU
Conference nameEuropean Conference on Advances in Databases and Information Systemsuulm.conferenceName
Conference placeNicosia, Cyprusuulm.conferencePlace
Conference start date2017-09-24uulm.conferenceStartDate
Conference end date2017-09-27uulm.conferenceEndDate
Bibliographyuulmuulm.bibliographie


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