Project Details

Škoda auto - Cloud computing analýza: porovnání dostupných cloudových řešení

Project Period: 25. 4. 2017 - 25. 7. 2017

Project Type: contract

Partner: ŠKODA AUTO a.s.

English title
Škoda auto - Cloud computing analýza: porovnání dostupných cloudových řešení
Type
contract
Keywords

Cloud

Abstract

The study of cloud computing systems will be based on an analysis of secondary sources of expert data and information according to ŠKODA AUTO's recommendations in the form of final report and presentation. The language will be English and Czech. The range will be at least 100 standard pages, including the dictionary and attachments (up to 33 standard pages).

 

The analysis will include:

1.1 Introduction to cloud computing systems

1.1.1 Introduction to established terminology

1.1.2 Overview of current state and trends in future development in cloud computing systems

1.1.3 Examples of the practical use of cloud computing systems at present

1.2 Practical use of cloud computing systems in a production organization

1.2.1 The possibilities of using cloud computing systems in a large-scale manufacturing company in the automotive, Electro

1.2.2 Opportunities and benefits, risks and possible threats of deploying cloud computing systems

1.2.3 Proposal to identify security threats and possible solutions (including concrete examples)

1.3 Overview and benchmarking of existing products / cloud computing systems

1.3.1 A detailed overview of vendors and their cloud computing systems suitable for deployment in a large-scale automotive manufacturing organization, Electro

3.2 Comparative analysis of at least three of the selected products and comparison of results with Cloud Foundry (or similar associations)

1.4 Executive Summary

1.5 Recommendations for ŠKODA AUTO

1.6 Presentation of the results of production and IT management ŠKODA AUTO

Team members
Hruška Tomáš, prof. Ing., CSc. (UIFS FIT VUT) , research leader
Kolář Dušan, doc. Dr. Ing. (UIFS FIT VUT) , team leader
Rychlý Marek, RNDr., Ph.D. (UIFS FIT VUT)
Publications

2017

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