[TIS] Theory of Networks

INGKIS

[TIS] Theory of Networks

Main objectives of the course:

To know the basic structure of information networks in terms of traffic flows, to create their mathematical models and to solve the basic tasks of guaranteeing quality of service.

Lecturers from the department:

Course information sheet
University: University of Žilina
Faculty: Faculty of Management Science and Informatics
Course ID: 5IN210Course name: Theory of Networks (TIS)
Form, extent and method of teaching activities:
Number of classes per week in the form of lectures,
laboratory exercises, seminars or clinical practice
Lectures: 4.0 Seminars: 0.0 Lab.exercises: 4.0
Methods by which the educational activity is deliveredPresent form of education
Applied educational activities and methods suitable for achieving learning outcomes
Number of credits: 8.0
Study workload: hours
Specification of the study workload:
Recommended term of study: 1. year, summer semester
Study degree: 2.
Required subsidiary courses:
Prerequisites:
Process analysis (AP).
Principles of Information and Communication Networks (PIKS), Computer Networks 1 (PS1).
Co-requisites:
Course requirements:
Continuous assessment / evaluation:
The content of the subject consists of two parts, in each part 30 points can be obtained in continuous examination, required minimum is 15 points.
Final assessment /evaluation:
In the final evaluation it is possible to gain 40 points (20 points in first part and 20 in the second part of the course).

The points from the continuous and final examination are added together and this sum determines the final grade:
<92, 100> points A
<84, 92) points B
<76, 84) points C
<68, 76) points D
<60, 68) points E
<0, 60) points FX
To enroll for an exam student must have 30 points.
Course outcomes:
To know the basic structure of information networks in terms of traffic flows, to create their mathematical models and to solve the basic tasks of guaranteeing quality of service.
Course scheme:
Part 1: Network operation:
Lectures:
- Requirements processes in information networks and their models.
- Markov model of information network and network devices.
- Traffic in denial networks.
- Markov systems with losses, networks with channel commutation.
- Operation in queuing networks: Jackson networks - probability distribution of states and delay, numerical characteristics of the system, routing of information flows (design of fixed routing in polygonal networks).
- The theory of large deviations. Effective bandwidth (EB) - definition, properties, dimensioning. Methods of statistical estimation of EB. IP network modeling using EB.
Exercises:
Exercises will be focused on calculating practical tasks and solving problems from areas specified by the lectures.

Part 2: Convergence of networks and their network quality requirements:
Lectures:
- Overview of QoS, QoS architecture: Best Effort, IntServ, DiffServ.
- QoS components and implementation tools (Legacy CLI, MQC, Cisco AutoQoS, Cisco SDM QoS Wizard), packet classification and marking, use of NBAR in QoS tools.
- Management of network traffic congestion, queueing modes (FIFO, PQ, RR, WRR, CQ), queueing system architecture (software, hardware queue), WFQ (WFQ queue architecture, activity overview, advantages and disadvantages, configuration, monitoring), CBWFQ (architecture, reservable bandwidth, advantages and disadvantages, configuration, monitoring), LLQ (architecture, configuration, monitoring).
- Mechanisms for network congestion prevention (Tail Drop, RED, WRED, CBWRED, WRED + ECN) and their configuration.
- Traffic policing and shaping tools (Token Bucket, srTCM, trTCM), and their configuration.
- Mechanisms for network link performance, QoS in VPN networks, LAN QoS on switches.
Exercises:
Exercises will be focused on the use of knowledge from lectures to solve practical tasks in the field of implementation and configuration of QoS on real network devices in laboratory conditions.
Literature:
1. Wendell Odom, Michael J. Cavanaugh: Cisco QoS Exam Certification Guide (IP Telephony Self-Study), 18 Nov 2004, ISBN-10: 1-58720-124-0, ISBN-13: 978-1-58720-124-0.
2. Cheng Shang Chang, Performance Guarantees in Communication Networks, Springer Verlag, 2000
3. Gelenbe E., Pujolle G.: Introduction to Queueing Networks, Wiley & Sons, 1987
Instruction language: slovak/english
Notes:
Course evaluation::
Total number of evaluated students: 10
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Course teachers:
Lecture: doc. Mgr. Juraj Smieško, PhD.
Lecture: Ing. Ondrej Škvarek, PhD.
Laboratory: doc. Mgr. Juraj Smieško, PhD.
Laboratory: Mgr. Jana Uramová, PhD.
Last updated: 2021-11-10 07:56:06.000
The person responsible for the course: doc. Mgr. Juraj Smieško, PhD.
Approved by:
SOURCE: https://vzdelavanie.uniza.sk/vzdelavanie/planinfo.php?kod=275107&lng=en