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AuthorSeybold, Danieldc.contributor.author
Date of accession2017-06-23T13:36:15Zdc.date.accessioned
Available in OPARU since2017-06-23T13:36:15Zdc.date.available
Year of creation2016-09-29dc.date.created
Date of first publication2016-09-29dc.date.issued
AbstractThe evolvement of cloud computing pushed the rethinking of traditional web service architecture from monolithic structures to distributed systems, which will benefit from the cloud offers such as resource pooling or rapid elasticity. Whereas the distribution of the mostly stateless business logic services fits well for distribution in the cloud, the distribution of stateful database services is more challenging. Hence in parallel to the evolvement of cloud computing, distributed databases moved in the focus of academia and industry with the result of variety of distributed database systems, which can be classified in relational databases, NoSQL and NewSQL database systems. Theoretically the current representatives of these three database system classes claim to provide elasticity and “unlimited” horizontal scalability. As the characteristics elasticity and scalability match the cloud offerings, distributed databases seem to be a perfect match for implementing Database-as-a-Service systems (DBaaS). However, academia and industry have already proven significant differences in the elasticity and scalability of distributed databases in specific scenarios. As the cloud stack adds adds another level of complexity to the evaluation of distributed databases, an advanced evaluation framework is required to enable comparable and reproducible evaluations of distributed databases in the cloud. In this context a new approach towards a cloudcentric evaluation framework for distributed databases is proposed, encompassing a model-driven evaluation methodology, an evaluation execution framework and a cloud-centric knowledge base for distributed database scalability and elasticity.dc.description.abstract
Languageendc.language.iso
PublisherUniversität Ulmdc.publisher
ID of original publ.http://cf2016.holacloud.eu/portfolio/towards-cloud-centric-distributed-database-evaluation/dc.relation.uri
LicenseStandarddc.rights
Link to license texthttps://oparu.uni-ulm.de/xmlui/license_v3dc.rights.uri
KeywordDBaaSdc.subject
KeywordCloud databasesdc.subject
Dewey Decimal GroupDDC 004 / Data processing & computer sciencedc.subject.ddc
LCSHNon-relational databasesdc.subject.lcsh
LCSHCloud computingdc.subject.lcsh
LCSHDistributed databasesdc.subject.lcsh
TitleTowards cloud-centric distributed database evaluationdc.title
Resource typeBeitrag zu einer Konferenzdc.type
VersionpublishedVersiondc.description.version
DOIhttp://dx.doi.org/10.18725/OPARU-4393dc.identifier.doi
URNhttp://nbn-resolving.de/urn:nbn:de:bsz:289-oparu-4432-2dc.identifier.urn
GNDNoSQL-Datenbanksystemdc.subject.gnd
GNDBenchmarkingdc.subject.gnd
FacultyFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.affiliationGeneral
InstitutionInstitut für Organisation und Management von Informationssystemenuulm.affiliationSpecific
Citation of original publ.Seybold, Daniel (2016): Towards cloud-centric distributed database evaluation: portfolio with abstract and poster. In: Cloud Forward Conference 2016: From Distributed to Complete Computing, Madrid, 18-20 October, Madrid, 29.09.2016, http://cf2016.holacloud.eu/portfolio/towards-cloud-centric-distributed-database-evaluation/ (Letzter Zugriff: 22.06.2017)uulm.citationOrigPub
Peer reviewjauulm.peerReview
DCMI TypeEventuulm.typeDCMI
TypeZweitveröffentlichunguulm.veroeffentlichung
CategoryPublikationenuulm.category
EU projectCloudSocket / Business and IT-Cloud Alignment using a Smart Socket / EC / H2020 / 644690uulm.projectEU
FundingEC / Horizon 2020uulm.funding
Conference nameCloud Forward Conference 2016: From Distributed to Complete Computinguulm.conferenceName
Conference placeMadriduulm.conferencePlace
Conference start date2016-10-18uulm.conferenceStartDate
Conference end date2016-10-20uulm.conferenceEndDate
Bibliographyuulmuulm.bibliographie


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