Measurements and analysis of Internet traffic

1.

Subject title

Measurements and analysis of Internet traffic

Мерење и анализа на сообраќај

2.

Code

F23L3S125

3.

Study program

Примена на информациски технологии, Софтверско инженерство и информациски системи, Компјутерски науки, Компјутерско инженерство, Интернет, мрежи и безбедност, Software engineering and information systems, Примена на информациски технологии, Софтверско инженерство и информациски системи, Компјутерски науки, Компјутерско инженерство, Интернет, мрежи и безбедност, Информатичка едукација, Software engineering and information systems, Стручни студии за програмирање, Стручни студии за програмирање,

4.

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

Faculty of Information Sciences and Computer Engineering

5.

Study cycle (first, second, third)

Прв циклус

6.

Academic year / semester

3 / Летен

7. Number of ECTS credits

6.0

8.

Instructor

ворн. проф. д-р Мирослав Мирчев

9.

Prerequisites for enrollment

Веројатност и статистика или Основи на теорија на информации или Бизнис статистика или Математика 3

10.

Subject goals and competencies:

For any engineer who works with network technologies it is useful to have knowledge of measurement, analysis and modeling the internet traffic for better design of networks as well as better utilization of their performance. With this course the students will get acquainted with the basics of engineering of communication, as well as different techniques for analysis, measurement, characterization, classification and prediction of the internet traffic.

11.

Subject content:

Lectures: 1. Introduction 2. Network characteristics and measurements 3. Active measurements 4. Passive measurements 5. Distributed traffic measurement 6. Legal aspects of traffic measurement and anonymization 7. Analysis and visualization of traffic 8. Traffic characterization and modeling 9. Classification and prediction of traffic 10. Routing and rerouting 11. Instabilities detection and routing optimization 12. Network tomography and traffic estimation Exercises: 1. Introduction 2. Network characteristics and measurements 3. Active measurements 4. Passive measurements 5. Distributed traffic measurement 6. Legal aspects of traffic measurement and anonymization 7. Analysis and visualization of traffic 8. Traffic characterization and modeling 9. Traffic classification and review 10. Routing and rerouting 11. Instabilities detection and routing optimization 12. Network tomography and traffic estimation

12.

Learning methods:

Предавања поддржани со презентации преку слајдови, интерактивни предавања, вежби (користење на опрема и софтверски пакети), тимска работа, пример случаи, 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

30 + 45 + 15 + 15 + 75 = 180 hours

15.

Forms of teaching activities

15.1.

Lectures - theoretical teaching

30 hours

15.2.

Exercises (laboratory, classroom), seminars, team work

45 hours

16.

Other forms of activities

16.1.

Project tasks

15 hours

16.2.

Independent tasks

15 hours

16.3.

Homework

75 hours

17.

Grading method

17.1.

Tests

10 points

17.2.

Seminar work / project (presentation: written and oral)

15 points

17.3.

Activities and learning

10 points

17.4.

Final exam

70 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 15.1 и 15.2

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