Faculty of Electronics, Telecommunications and Informatics
11/12 Gabriela Narutowicza Street, 80-233 Gdańsk-Wrzeszcz, Poland
Tel.: +48 58 347 2277, +48 58 347 1784    Fax: +48 58 348 6373    E-mail:
WETI
 
Communication Networks Modelling and Measurement
Subject name:Communication Networks Modelling and Measurement
Subject type:for specialization (basic)
Department:Department of Computer Communications
lecture
No. of hours:1
Teachers:PhD MEng with habilitation Jerzy Konorski
Taught in:
Study level: 2 (MSc)- Computer Networks- sem. 1
classes
No. of hours:1
Teachers:PhD MEng with habilitation Jerzy Konorski
Taught in:
Study level: 2 (MSc)- Computer Networks- sem. 1
lecture

No

Topic

Level of

No of
 hours

knowledge

skills

A

B

C

D

E

 

1.

Introduction and assessment items.

X

 

 

 

 

1

2.

Elastic and isochronous traffic; methods of traffic handling.

X

 

 

 

 

1

3.

Determination of throughput in various layers of network architecture.

 

X

 

 

 

1

4.

Source traffic models, elements of renewal theory.

X

 

 

 

 

1

5.

Stream decomposition and superposition, Palm theorem.

X

 

 

 

 

1

6.

Choice of timescale in network modeling; generation and analysis of trace files.

 

X

 

 

 

1

7.

Self-similarity of network traffic, software-based generation of trace files based on traffic models.

X

 

 

 

 

1

8.

Intrusive and nonintrusive measurements of one-way PDU delays.

 

X

 

 

 

1

9.

Inference of network performance metrics based on transport-layer information.

X

 

 

 

 

1

10.

Computer simulation basics for complex network systems.

X

 

 

 

 

1

11.

Statistical validation of simulation results.

 

X

 

 

 

1

12.

Simulation tools for network performance evaluation.

 

X

 

 

 

1

13.

Development of performance-oriented simulation models.

X

 

 

 

 

1

14.

Multi-faceted analysis of a simulation trace.

 

X

 

 

 

1

15.

Building network expansion recommendations based on simulative analysis.

 

X

 

 

 

1

 

Total

15

classes
 

No

Topic

 

Level of

 

No of
 hours

 

knowledge

skills

A

B

C

D

E

 

1.

Example measurements of traffic characteristics and network elements' performance.

 

 

 

X

 

1

2.

Deterministic and stochastic traffic parameters.

 

 

 

X

 

1

3.

Measurements of communication and protocol overhead.

 

 

 

X

 

1

4.

Burstiness and correlation structure of network traffic.

 

 

 

X

 

1

5.

MMPP model adjustment to observed VBR traffic.

 

 

 

X

 

1

6.

Methods of measurement of Hurst parameter.

 

 

 

X

 

1

7.

Pseudorandom number generation for modelling of network traffic..

 

 

 

X

 

1

8.

Software generation of SRD and LRD data traffic.

 

 

 

X

 

1

9.

Use of NTP for measurement of one-way PDU delays.

 

 

 

X

 

1

10.

Multicast-based inference of additive link performance metrics.

 

 

 

X

 

1

11.

Examples of writing time-slicing and event-driven simulators of complex network systems.

 

 

 

X

 

1

12.

Construction of confidence intervals and detection of steady state for concrete simulation scenarios.

 

 

 

X

 

1

13.

Overview of COMNET and ns-2 network simulators.

 

 

 

X

 

1

14.

Example simulation of a contention MAC protocol and a wireless network with mobile terminals.

 

 

 

X

 

1

15.

Demonstration of bottlenecks in simple networks.

 

 

 

X

 

1

Total

 

15

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