Virtualized data centers

1.

Subject title

Virtualized data centers

Виртуелизирани податочни центри

2.

Code

CC-Z-01

3.

Study program

Cloud Computing, Cloud Computing, Data science in computer science and engineering, IT management, Security, Cryptography and Coding, Bioinformatics, Еducation with ICT, Eco-informatics, Inteligent Systems, Internet Technologies and cyber security, Computer Science, Software for embedded systems, Software Engineering, IT management, Bioinformatics, Security, Cryptography and Coding, Software Engineering, Statistics and Data Analytics, Statistics and Data Analytics,

4.

Organizer of the study program (unit, institute, department, division)

Faculty of Information Sciences and Computer Engineering

5.

Study cycle (first, second, third)

Втор циклус

6.

Academic year / semester

5 / Зимски

7. Number of ECTS credits

6.0

8.

Instructor

проф. д-р Дејан Спасов проф. д-р Магдалена Костоска Ѓорчевска

9.

Prerequisites for enrollment

10.

Subject goals and competencies:

This course will be trained by the student for planning and developing a virtualized data center, the distribution of resources, covering the virtualization of computational, network and input/output resources with the development of a private cloud.

11.

Subject content:

Planning and developing a data center. Scalability and elasticity. Next -generation (modern) data centers architectures and technologies. IT strategy in large companies (Enterprise) with the possibility of scaling millions of users. Virtualization of servers and repositories. Evolution on a second level. Consolidation of C/s. Infrastructure segmentation. Virtual data center and cloud calculation. Concepts of a private cloud. Infrastructure as a service (IAAS). Creating types of virtual machines. Virtualization and network protection. Planning and developing an open source private cloud. Architecture of a private cloud. Administration of a private cloud. Protecting a private cloud. Enabling architecture for platform as a service

12.

Learning methods:

Предавања, вежби, самостојна работа, проектни задачи, семинарски работи

13.

Total available time fund

6.0 ECTS x 30 hours = 180 hours

14.

Time distribution

45 + 15 + 30 + 50 + 40 = 180 hours

15.

Forms of teaching activities

15.1.

Lectures - theoretical teaching

45 hours

15.2.

Exercises (laboratory, classroom), seminars, team work

15 hours

16.

Other forms of activities

16.1.

Project tasks

50 hours

16.2.

Independent tasks

30 hours

16.3.

Homework

40 hours

17.

Grading method

17.1.

Tests

0 points

17.2.

Seminar work / project (presentation: written and oral)

50 points

17.3.

Activities and learning

0 points

17.4.

Final exam

0 points

18.

Grading criteria (points / grade)

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.

Condition for signature and taking final exam

реализирани 15.1 и 15.2

20.

Language of instruction

македонски или англиски

21.

Quality assurance method

интерна евалуација и анкети

22.

Literature

22.1.

Mandatory literature

22.2.

Additional literature