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.
3.
Determination of throughput in various layers of network architecture.
4.
Source traffic models, elements of renewal theory.
5.
Stream decomposition and superposition, Palm theorem.
6.
Choice of timescale in network modeling; generation and analysis of trace files.
7.
Self-similarity of network traffic, software-based generation of trace files based on traffic models.
8.
Intrusive and nonintrusive measurements of one-way PDU delays.
9.
Inference of network performance metrics based on transport-layer information.
10.
Computer simulation basics for complex network systems.
11.
Statistical validation of simulation results.
12.
Simulation tools for network performance evaluation.
13.
Development of performance-oriented simulation models.
14.
Multi-faceted analysis of a simulation trace.
15.
Building network expansion recommendations based on simulative analysis.
Total
15
Example measurements of traffic characteristics and network elements' performance.
Deterministic and stochastic traffic parameters.
Measurements of communication and protocol overhead.
Burstiness and correlation structure of network traffic.
MMPP model adjustment to observed VBR traffic.
Methods of measurement of Hurst parameter.
Pseudorandom number generation for modelling of network traffic..
Software generation of SRD and LRD data traffic.
Use of NTP for measurement of one-way PDU delays.
Multicast-based inference of additive link performance metrics.
Examples of writing time-slicing and event-driven simulators of complex network systems.
Construction of confidence intervals and detection of steady state for concrete simulation scenarios.
Overview of COMNET and ns-2 network simulators.
Example simulation of a contention MAC protocol and a wireless network with mobile terminals.
Demonstration of bottlenecks in simple networks.