Virtualization and Cloud Systems

Објавено: October 12, 2018
  1.    Course Title Virtualization and Cloud Systems
  2.    Code 3ФЕИТ07Л006
  3.    Study program KTI
  4.    Organizer of the study program (unit, institute, department) Faculty of Electrical Engineering and Information Technologies
  5.    Degree (first, second, third cycle) First cycle
  6.    Academic year/semester IV/8   7.    Number of ECTS credits 6.00
  8.    Lecturer Dr Marija Kalendar, Dr Pero Latkoski, Dr Vladimir Atanasovski
  9.    Course Prerequisites Passed: Operating Systems Taken course: High Performance Systems and Computing

10.    Course Goals (acquired competencies):  Introducing the concepts of virtualization, virtual datacenters and implementation of systems in the cloud. Upon completion of the course students will be able to work independently with virtual machines, as well as to design and manage systems in the cloud.

11.    Course Syllabus: Introduction. Basic concepts of cloud-based systems. Technology behind cloud systems. Datacenters. Components and terms. Virtualized datacenter. Storage systems. Storage Area Network (SAN). Network Attached Storage (NAS). Virtualization concepts. Abstraction of resources. Types of virtualization. Virtualization of networks. Storage virtualization. Virtualization and Virtual Machines (VM). Concepts, management and configuration. Migration, cloning, VM templates. Virtualization management tools. Hypervisors. VMWare. KVM. Operating System Virtualization. XEN. Cloud systems. Features. Cloud deployment models: a private, public, hybrid cloud. Cloud services: SaaS, PaaS, IaaS. Designing a private cloud. Concepts and features. Public cloud services: Amazon, Google, Microsoft cloud services. Open source cloud computing systems. OpenStack. Architecture. Cloud security.

12.    Learning methods:  Laboratory exercises, practical work and lectures
13.    Total number of course hours 3 + 1 + 1 + 0
14.    Distribution of course hours 180
15.    Forms of teaching 15.1. Lectures-theoretical teaching 45
15.2. Exercises (laboratory, practice classes), seminars, teamwork 30
16.    Other course activities 16.1. Projects, seminar papers 15
16.2. Individual tasks 30
16.3. Homework and self-learning 60
17.    Grading 17.1. Exams 10
17.2. Seminar work/project (presentation: written and oral) 40
17.3. Activity and participation 0
17.4. Final exam 50
18.    Grading criteria (points) up to 50 points     5 (five) (F)
from 51 to 60 points     6 (six) (E)
from 61 to 70 points     7 (seven) (D)
from 71 to 80 points     8 (eight) (C)
from 81 to 90 points     9 (nine) (B)
from 91 to 100 points   10 (ten) (A)
19.    Conditions for acquiring teacher’s signature and for taking final exam Laboratory exercises
20.    Language Macedonian and English
21.    Method of monitoring of teaching quality Internal evaluation and questionnaires
22.    Literature
22.1. Required Literature
No. Author Title Publisher Year
1 K. Hwang, J. Dongarra, G.C. Fox Distributed and Cloud Computing: From Parallel Processing to the Internet of Things Morgan Kaufmann 2011
2 N. Antonopoulos, L. Gillam Cloud Computing: Principles, Systems and Applications Springer 2010
3 T. Erl, R. Puttini, Z. Mahmood Cloud Computing: Concepts, Technology & Architecture Prentice Hall 2013
22.2. Additional Literature
No. Author Title Publisher Year
1 Dan C. Marinescu  Cloud Computing: Theory and Practice  Morgan Kaufmann  2013
2  V. Josyula, M. Orr, G. Page  Cloud Computing: Automating the Virtualized Data Center  Cisco Press  2011