Public Cloud Kubernetes Storage Performance Analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F19%3A50016283" target="_blank" >RIV/62690094:18450/19:50016283 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-030-28374-2_56" target="_blank" >http://dx.doi.org/10.1007/978-3-030-28374-2_56</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-28374-2_56" target="_blank" >10.1007/978-3-030-28374-2_56</a>
Alternative languages
Result language
angličtina
Original language name
Public Cloud Kubernetes Storage Performance Analysis
Original language description
Public cloud solutions offer a lot of possibilities for application configuration. The well-chosen architecture and configuration are important for the correct and efficient application run and affect performance and also user friendliness. If the application runs on top of Kubernetes cluster on public cloud solutions (e.g. Amazon Elastic Container Service for Kubernetes, Google Kubernetes Engine, Azure Kubernetes Service) it is necessary, among other things, also decide what data storage to use and this decision should be based on the workload type and requirements for other application and storage parameters. However, it is not easy to say which technology is the best or to use some simple test to get this result or a similar one. The main analysis and tests in this paper have been done on Microsoft’s Azure Kubernetes Service where have been tested these storage back-ends: AKS native storage class, AWS cloud volume mapped into the instance (via Azure hostPath with attached Azure managed disk), OpenEBS, Portworx, Gluster with Heketi and Ceph with Rook.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Computational Collective Intelligence
ISBN
978-3-030-28373-5
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
12
Pages from-to
649-660
Publisher name
Springer
Place of publication
Cham
Event location
Hendaye
Event date
Sep 4, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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