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Is distributed database evaluation cloud-ready?

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Erstveröffentlichung
2017-09-09
DOI
10.18725/OPARU-22041
Beitrag zu einer Konferenz


Authors
Seybold, Daniel
Domaschka, Jörg
Faculties
Fakultät für Ingenieurwissenschaften, Informatik und Psychologie
Institutions
Institut für Organisation und Management von Informationssystemen
Published in
New Trends in Databases and Information Systems ; 767 (2017). - S. 100-108. - ISBN 978-3-319-67162-8, ISBN 978-3-319-67161-1. - ISSN 1865-0929. - eISSN 1865-0937
Link to original publication
https://dx.doi.org/10.1007/978-3-319-67162-8_12
Peer review
ja
Document version
acceptedVersion
Conference
European Conference on Advances in Databases and Information Systems, 2017-09-24 - 2017-09-27, Nicosia, Cyprus
License
Standard (ohne Print-on-Demand)
https://oparu.uni-ulm.de/xmlui/license_opod_v1
Abstract
The 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.
EU Project
CloudSocket / Business and IT-Cloud Alignment using a Smart Socket / EC / H2020 / 644690
MELODIC / Multi-cloud Execution-ware for Large-scale Optimized Data-Intensive Computing / EC / H2020 / 731664
Earlier version(s)
10.18725/OPARU-4382
Subject Headings
Cloud Computing [GND]
NoSQL-Datenbanksystem [GND]
Verteiltes Datenbanksystem [GND]
Formative Evaluation [GND]
Distributed databases [LCSH]
Database management; Evaluation [LCSH]
Cloud computing [LCSH]
Non-relational databases [LCSH]
Keywords
database evaluation
Dewey Decimal Group
DDC 004 / Data processing & computer science

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Citation example

Seybold, Daniel; Domaschka, Jörg (2019): Is distributed database evaluation cloud-ready? Open Access Repositorium der Universität Ulm. http://dx.doi.org/10.18725/OPARU-22041

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