diplomsko delo
Dejan Ambruš (Author), Uroš Lotrič (Mentor)

Abstract

Visoko zmogljivo računanje v oblaku Windows Azure

Keywords

računalništvo v oblaku;Windows Azure;visoko zmogljivo računanje;IaaS;PaaS;SaaS;računalniške gruče;računalništvo;visokošolski strokovni študij;računalništvo in informatika;diplomske naloge;

Data

Language: Slovenian
Year of publishing:
Typology: 2.11 - Undergraduate Thesis
Organization: UL FRI - Faculty of Computer and Information Science
Publisher: [D. Ambruš]
UDC: 004(043.2)
COBISS: 9685332 Link will open in a new window
Views: 56
Downloads: 6
Average score: 0 (0 votes)
Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Secondary language: English
Secondary title: High-performance computing in Windows Azure cloud
Secondary abstract: High performance, security, availability, scalability, flexibility and lower costs of maintenance have essentially contributed to the growing popularity of cloud computing in all spheres of life, especially in business. In fact cloud computing offers even more than this. With usage of virtual computing clusters a runtime environment for high performance computing can be efficiently implemented also in a cloud. There are many advantages but also some disadvantages of cloud computing, some of them are addressed in our thesis, mainly regarding to the Microsoft's public cloud computing platform Windows Azure. We describe the underlying infrastructure and software configuration as well as its functions and server usage charges. In the second part we describe how to set up a Windows Azure account and configure it for high-performance computing and also how to run many virtual machines simultaneously using HPC Cluster Manager. Dynamic resource allocation, improved flexibility, broad network access, performance enhancements as well as business benefits convinced us there are many benefits of cloud computing comparing to the on-site computing resources.
Secondary keywords: cloud computing;Windows Azure;high performance computing;IaaS;Paas;SaaS;computing clusters;computer science;computer and information science;diploma;
File type: application/pdf
Type (COBISS): Bachelor thesis/paper
Thesis comment: Univ. v Ljubljani, Fak. za računalništvo in informatiko
Pages: 58 str.
ID: 24181950