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DKUM
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Title:
Načrtovanje skalabilnih storitev za platforme v oblaku
Authors:
ID
Jakoša, Denis
(Author)
ID
Heričko, Marjan
(Mentor)
More about this mentor...
Files:
MAG_Jakosa_Denis_2017.pdf
(2,81 MB)
MD5: 04EF3C89FEAF8137A61E6FAFDC55FACE
PID:
20.500.12556/dkum/2fd56def-e279-4300-875b-8294b0ca759b
Language:
Slovenian
Work type:
Master's thesis/paper
Typology:
2.09 - Master's Thesis
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Abstract:
V magistrskem delu so predstavljeni vzorci, tehnike in principi načrtovanja skalabilnih informacijskih storitev za platforme v oblaku. Obravnavani so trije trenutno vodilni ponudniki infrastrukture in platform v oblaku: Amazon Web Services, Microsoft Azure in Google Cloud Platform. Storitev, ki je v omenjene oblake dostavljena v vsebniku platforme Docker, je implementirana v ogrodju Spring Boot, predstavljeni pa so še vzpostavitev podatkovnega vira, konfiguracija storitve Amazon EC2 Container Service v Amazonovem oblaku ter vzpostavitev platforme Kubernetes v Microsoftovem in Googlovem oblaku. Izvedeni obremenitveni test prikazuje delovanje mehanizma samodejnega skaliranja, ki s tehniko horizontalnega skaliranja upravlja zmogljivost v oblak dostavljene storitve.
Keywords:
informacijski sistemi
,
računalništvo v oblaku
,
storitve za oblak
,
vsebniki
,
skalabilnost
Place of publishing:
[Maribor
Publisher:
D. Jakoša
Year of publishing:
2017
PID:
20.500.12556/DKUM-68079
UDC:
004.383.2:004.738.5(043.2)
COBISS.SI-ID:
20983062
NUK URN:
URN:SI:UM:DK:SJX2HIMP
Publication date in DKUM:
26.10.2017
Views:
1744
Downloads:
232
Metadata:
Categories:
KTFMB - FERI
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:
JAKOŠA, Denis, 2017,
Načrtovanje skalabilnih storitev za platforme v oblaku
[online]. Master’s thesis. Maribor : D. Jakoša. [Accessed 21 January 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=68079
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Licences
License:
CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:
http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:
The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:
08.09.2017
Secondary language
Language:
English
Title:
Design of scalable services for cloud platforms
Abstract:
This master's thesis presents patterns, techniques and principles for the design of scalable information services for cloud platforms. Three currently leading cloud infrastructure and platform providers are dealt with; these are Amazon Web Services, Microsoft Azure and Google Cloud Platform. Service that is delivered within Docker container is implemented with Spring Boot framework. Setup of data source, configuration of Amazon EC2 Container Service and setup of Kubernetes platform in Microsoft's and Google's cloud are also presented. The load test that was performed shows the operating of an auto scaling mechanism which uses horizontal scalability to manage the performance of service that is delivered into the cloud.
Keywords:
information systems
,
cloud computing
,
cloud services
,
containers
,
scalability
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