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Towards cloud-centric distributed database evaluation

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Erstveröffentlichung
2016-09-29
DOI
10.18725/OPARU-4393

Konferenzveröffentlichung

Autoren
Seybold, Daniel
Fakultäten
Fakultät für Ingenieurwissenschaften, Informatik und Psychologie
Institutionen
Institut für Organisation und Management von Informationssystemen
Peer-Review
ja
Dokumentversion
publishedVersion
Konferenz
Cloud Forward Conference 2016: From Distributed to Complete Computing, Madrid, 18-20 October, 2016
Lizenz
Standard
https://oparu.uni-ulm.de/xmlui/license_v3
Zusammenfassung
The 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.
Erstellung / Fertigstellung
2016-09-29
Förderinformationen
CloudSocket / Business and IT-Cloud Alignment using a Smart Socket / EC / H2020 / 644690
EC / Horizon 2020
Originalpublikation
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)
http://cf2016.holacloud.eu/portfolio/towards-cloud-centric-distributed-database-evaluation/
Normierte Schlagwörter
NoSQL-Datenbanksystem [GND]
Benchmarking [GND]
Non-relational databases [LCSH]
Cloud computing [LCSH]
Distributed databases [LCSH]
Schlagwörter
DBaaS; Cloud databases
DDC-Sachgruppe
DDC 004 / Data processing & computer science

Metadata
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Zitiervorlage

Seybold, Daniel (2017): Towards cloud-centric distributed database evaluation. Open Access Repositorium der Universität Ulm. http://dx.doi.org/10.18725/OPARU-4393

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