Računanje u oblaku

master's thesis

• Title (english): Cloud computing
• Author: Mia Tadić
• Mentor: Robert Manger (mentor)
• Committee member: Robert Manger (predsjednik povjerenstva)
• Committee member: Miljenko Marušić (član povjerenstva)
• Committee member: Mladen Jurak (član povjerenstva)
• Committee member: Zvonimir Bujanović (član povjerenstva)
• Granter: University of Zagreb; Faculty of Science; (Department of Mathematics); Zagreb
• Defense date and country: 2020-09-29, 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: podatkovna platforma; oblak AWS; klaster virtualnih računala
• Keywords (english): cloud data platform; AWS cloud platform; cluster of virtual machines
• Language: croatian
• URN:NBN: urn:nbn:hr:217:481157
• Study programme: Title: 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 resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2021-03-08 09:47:07