Model-based cloud service deployment with minimal operational cost.

doctoral thesis

• Title (croatian): Raspoređivanje usluge u računalnom oblaku zasnovano na modelu s minimalnim troškom izvođenja usluge.
• Author: Ivana Stupar; MBZ: -1628
• Mentor: Darko Huljenić (mentor)
• Committee member: Darko Huljenić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; (Department of Telecommunications); Zagreb
• Defense date and country: 2020, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Electrical Engineering; Telecommunications and Informatics
• Universal decimal classification (UDC): 621.3 - Electrical engineering

Abstract

The focus of this research was the development of the method for cloud service deployment optimisation based on the model of service and its context, with the aim of minimising the cloud service cost while fulfilling the requirements defined by the service level agreement. A cloud application context metamodel is proposed that includes parameters related to the application service and the cloud infrastructure relevant for the cost and quality of service. Through the optimisation method, the knowledge is extracted about the effects that the cloud application context parameters have on the service cost and quality of service, and the gained knowledge is further used in the deployment optimisation. The service models are validated using the implementation of cloud application services in laboratory conditions, and the optimisation method is validated using the simulations based on the proposed cloud application context metamodel. The experimental results based on selected use cases demonstrate the ability of the proposed approach to provide relevant information about the impact of cloud application context parameters on service cost and quality of service and use this information in the optimisation aimed at reducing service operational cost while preserving the acceptable level of service quality. The results indicate relevance of the proposed approach for cloud applications in the preproduction phase since application providers can gain useful insights regarding service deployment decision without acquiring extensive datasets for the analysis.

Abstract (croatian)

Istraživanje je usmjereno na razvoj metode za optimizirano raspoređivanje aplikacije u računalnom oblaku temeljene na modelu konteksta usluge s ciljem minimiziranja troška izvođenja usluge uz ispunjene zahtjeve definirane ugovorom o razini kvalitete usluge. Predloženi pristup omogućuje pružatelju usluga aplikacija u računalnom oblaku predviđanje troška izvođenja usluge i odabranog parametra kvalitete usluge za zadano postavljanje aplikacije u okruženju računalnog oblaka već u implementacijskoj fazi životnog ciklusa usluge. Uvodi se metamodel konteksta aplikacije u računalnom oblaku koji obuhvaća ključne parametre aplikacije i infrastrukture računalnog oblaka i može se primijeniti na različite tipove aplikacija. Znanje o parametrima konteksta aplikacije u računalnom oblaku koji imaju najznačajniji utjecaj na trošak i kvalitetu usluge ugrađeno je u model i iskorišteno za optimiranje postavljanja aplikacije u računalni oblak na temelju zadanih ciljeva optimizacije. Modeli usluge validirani su koristeći aplikacije postavljene u računalnom oblaku u laboratorijskim uvjetima, a optimizacijska metoda validirana je korištenjem simulatora temeljenog na definiranom metamodelu. Rezultati dobiveni na temelju simulacije potvrđuju primjenjivost predložene metode za raspoređivanje usluge u računalni oblak zasnovano na modelu za optimiranje troška izvođenja usluge.

• Keywords: Cloud computing; cloud service; SaaS; IaaS; cloud application; operational cost; cost optimisation method; service model; cloud application context; quality of service
• Keywords (croatian): računarstvo u oblaku; usluga u računalnom oblaku; SaaS; IaaS; aplikacija u računalnom oblaku; trošak izvođenja usluge; metoda za optimizaciju troška; model usluge; kontekst aplikacije u računalnom oblaku; kvaliteta usluge
• Language: english
• URN:NBN: urn:nbn:hr:168:534793
• Promotion: 2020
• Study programme: Title: Doctoral study programme "Electrical Engineering and Computing"; Study programme type: university; Study level: postgraduate; Academic / professional title: doktor/doktorica znanosti, po-dručje tehničkih znanosti (doktor/doktorica znanosti, po-dručje tehničkih znanosti)
• Catalog URL: https://lib.fer.hr:8443/cgi-bin/koha/catalogue/detail.pl?biblionumber=51823&searchid=scs_1600088640457
• Type of resource: Text
• Extent: 127 str.
• File origin: Born digital
• Access conditions: Access restricted to students and staff of home institution
• Created on: 2020-09-14 13:13:30