prikaz prve stranice dokumenta Računanje u oblaku
  Download
PDF 1.22 MB
master's thesis
Računanje u oblaku
Zagreb: University of Zagreb, Faculty of Science, 2020. urn:nbn:hr:217:481157
Tadić, Mia
University of Zagreb
Faculty of Science
Department of Mathematics

Institutional repository: Repository of the Faculty of Science

Cite this document

Tadić, M. (2020). Računanje u oblaku (Master's thesis). Zagreb: University of Zagreb, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:217:481157

Tadić, Mia. "Računanje u oblaku." Master's thesis, University of Zagreb, Faculty of Science, 2020. https://urn.nsk.hr/urn:nbn:hr:217:481157

Tadić, Mia. "Računanje u oblaku." Master's thesis, University of Zagreb, Faculty of Science, 2020. https://urn.nsk.hr/urn:nbn:hr:217:481157

Tadić, M. (2020). 'Računanje u oblaku', Master's thesis, University of Zagreb, Faculty of Science, accessed 23 May 2024, https://urn.nsk.hr/urn:nbn:hr:217:481157

Tadić M. Računanje u oblaku [Master's thesis]. Zagreb: University of Zagreb, Faculty of Science; 2020 [cited 2024 May 23] Available at: https://urn.nsk.hr/urn:nbn:hr:217:481157

M. Tadić, "Računanje u oblaku", Master's thesis, University of Zagreb, Faculty of Science, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:217:481157

Metadata
TitleRačunanje u oblaku
Title (english)Cloud computing
AuthorMia Tadić
MentorRobert Manger (mentor)
Committee memberRobert Manger (predsjednik povjerenstva)
Committee memberMiljenko Marušić (član povjerenstva)
Committee memberMladen Jurak (član povjerenstva)
Committee memberZvonimir Bujanović (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Science
(Department of Mathematics)
Zagreb
Defense date and country2020-09-29, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Mathematics
Abstract
Tema ovog diplomskog rada je računanje u oblaku. U prvom poglavlju detaljno objašnjavamo pojam računanja u oblaku – što je to, zašto je nastalo, koje tehnologije i mehanizmi ga implementiraju, kako se isporučuje korisnicima te koje su njegove karakteristike, prednosti i mane. U sljedećem poglavlju opisujemo podatkovnu platformu u oblaku kao primjer kompleksnog proizvoda kojeg je poželjno implementirati u oblaku zbog prednosti opisanih u prvom poglavlju. U posljednjem poglavlju uvodimo studijski primjer računanja s visokim performansama na platformi u oblaku AWS. Postavljamo klaster virtualnih računala na AWS-u te na njemu distribuiramo treniranje modela strojnog učenja za klasifikaciju slika. Testiramo vremenske performanse u odnosu na broj virtualnih računala na kojima je treniranje distribuirano.
Abstract (english)
This master thesis deals with cloud computing. In the first chapter, we explain in detail the concept of cloud computing – what it is, why it did evolve, what technologies and mechanisms implement it, how it is delivered to consumers, and what are its characteristics, benefits, and risks. In the next chapter, we describe the cloud data platform as an example of a complex product that is desirable to implement in the cloud environment because of the benefits described in the first chapter. In the last chapter, we introduce a case study of High Performance Computing on the AWS cloud platform. We are deploying a cluster of virtual machines on AWS and distributing training of a machine learning model for image classification on it. We test time performance against the number of virtual machines on which the training is distributed.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:217:481157
Study programmeTitle: Computer Science and Mathematics
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra računarstva i matematike (magistar/magistra računarstva i matematike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2021-03-08 09:47:07