Network virtualisation and Cloud Computing

1.

Subject title

Network virtualisation and Cloud Computing

Мрежна виртуелизација и пресметки во облак (Network Virtualization and Cloud Computing)

2.

Code

m23_s_064

3.

Study program

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

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 / Летен

7. Number of ECTS credits

6.0

8.

Instructor

проф. д-р Игор Мишковски

9.

Prerequisites for enrollment

10.

Subject goals and competencies:

This course aims to prepare students to understand the new technologies of network virtualization and cloud computing, their principles, modeling, analysis, design, and possible industry-oriented applications. After completing this course, the student is ready to build a career in application development and enabling services that are active on the distributed network through the use of virtual resources.

11.

Subject content:

Virtualization concepts, components and infrastructure. Virtualization at the infrastructure level. Hardware and software virtualization. CPU virtualization. Storage virtualization. SAN, ISCSI. Network virtualization. VLAN. Management of the life cycle of virtual machines. Virtualization services. Cloud computing concepts, evolution, architectures, infrastructures, opportunities, risk, company adaptation strategies, standards and policies, Software-as-a-Service (SaaS), Platforms-a-Service (PaaS), Infrastructure-as- a-Service (IaaS), modern cloud computing technologies and tools. Security in cloud computing. Real scenarios and creation of team projects. Azure Platform: Introduction to Cloud Services, Azure Platform Overview, Azure Storage, Azure Application Factory, SQL Azure. Amazon EC2, Amazon S3, Amazon DB, Queues and Cloud Front. Big data sets and dealing with them. MapReduce. Ingreation of IoT Solutions in the Cloud

12.

Learning methods:

Предавања поддржани со презентации преку слајдови, интерактивни предавања, вежби (користење на опрема и софтверски пакети), тимска работа, пример случаи, поканети гости предавачи, самостојна изработка и одбрана на проектна задача и семинарска работа, учење во електронско опкружување (форуми, консултации).

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

45 points

17.2.

Seminar work / project (presentation: written and oral)

50 points

17.3.

Activities and learning

10 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 активности 15 и 16

20.

Language of instruction

македонски и англиски

21.

Quality assurance method

механизам на интерна евалуација и анкети

22.

Literature

22.1.

Mandatory literature

22.2.

Additional literature