FAKULTETA ZA ELEKTROTEHNIKO, RAΘUNALNIŠTVO IN INFORMATIKO


Subject
 CLOUD COMPUTING DEPLOYMENT AND MANAGEMENT 
https://aips.um.si/PredmetiBP5/UcnaEnotaInfo.asp?Zavod=15&Jezik=A&Leto=2017&Nacin=&Predmet=61M203

Study unit code    61M203 2017

Level Study program or it's part Year Semester
1 BM20 COMPUTER SCIENCE AND INFORMATION TECHNOLOGIES 1 Winter

ECTS kredits 5

Hours - Lectures 30
Hours - Tutorial 2
Hours - Computer Work 28
Hours - Individual Student's Work 90

Lecturers
doc. dr. ZAMUDA ALEŠ

Languages - lectures slovene
Languages - tutorial slovene

Prerequisits
Basics of architecture of distributed computer systems. 
Content (Syllabus outline)
• Introduction to cloud computing (cloud storage, architecture, cloud service types, deployment models, sample architectures) • Parallel and distributed computer system models (clusters, grids, peer-to-peer, clouds) • Clustering (MPP architectures, design principles, scheduling methods, case studies) • Virtualization (CPU, memory, I/O devices; resource management; data centres; programming models - MapReduce) • Tools for management and supervision in cloud • Hardware units in installation of IaaS, hypervisor • Service models IaaS and PaaS • Private, public, community, and volunteer cloud architectures • Evolution of computer architectures, i.e., distributed/utility/cloud/grid/ computing, cloud platform services, solution examples • Capacity planning, scheduling and elasticity, HPC architectures and clients, tools to manage HPC • Advanced algorithm in cloud computing, HPC, parallel and distributed processing of large-scale data • Software, cloud application lifecycle, solutions in practice • Cloud security (introduction, securing the resources within cloud, securing data, security solutions, etc.) • Future of the Internet (ubiquitous cloud computing and the Internet of things, etc.)  
Textbooks
• Barrie Sosinsky. Cloud Computing Bible. Wiley Publishing Inc. 2011. • Kai Hwang, Geoffrey C. Fox, Jack J. Dongarra. Distributed and Cloud Computing, From Parallel Processing to the Internet of Things. Morgan Kaufmann. 2012. • Thomas A. Limoncelli, Strata R. Chalup, Cristina J. Hogan. The practice of cloud system administration, Designing and operating large distributed systems. Addison Wesley. 2015. • Thomas Erl, Robert Cope, Amin Naserpour. Cloud Computing Design Patterns. Prentice Hall; 1st edition. 2015. • Andreas Wittig, Michael Wittig. Amazon Web Services in Action. Manning Publications. 1st edition. 2015. • Michael J. Kavis. Architecting the Cloud: Design Decisions for Cloud Computing Service Models (SaaS, PaaS, and IaaS). Wiley; 1st edition. 2014.  
Objectives
The objectives of this course is to provide students with an overview of the cloud computing, to acquaint them with basic building blocks of this technology, in cloud computing deployment and management. 
Intendend learning outcomes - knowledge and understanding
On completion of this course the student will be able to: • explain the basic concepts of cloud computing architecture, • apply these basic concepts for building the data centres, • understand the concept of virtualization and its application for building cloud computing, • distinguish the different service architectures of cloud computing, to be familiar with their advantages and weaknesses.  
Intendend learning outcomes - transferable/key skills and other attributes'
• Communication skills: oral lab work defence, manner of expression at written examination. • Use of information technology and problem solving: use the concept of cloud storage, and apply the MapReduce programming model.  
Learning and teaching methods
• lectures, • lab work.  

Assessment Weight (%)
Lab work 50  
1st midterm written exam 16  
2nd midterm written exam 17  
3rd midterm written exam 17  
Comments
If a student has not completed all three midterm exams, he replaces them with a written exam in the weight of 50 %. 
[EOP]