Network Application Diagnostics

The course is not on the list Without time-table
Code Completion Credits Range Language
BE2M32DSA Z,ZK 5 2P + 2C English
Department of Telecommunications Engineering

The first part of the course deals with complex network structures, their characteristics identification, with recognition of both structural static and dynamic patterns, and anomaly detection.

The second part of the course is focused on specification methods of static and dynamic behavior and their verification. The use of the methods is demonstrated on examples dealing with network application issues. The special treatment is dedicated not only to network and cloud applications, but also to posibilities of diagnostic process automation. The students gain sufficient skills in seminars where they solve practical problems in digital network domain.


- Knowledge of linear algebra and graph theory.

Syllabus of lectures:

1. Introduction to diagnostics, testing, and verification of network applications.

2. Fundamental charakteristics of networks and models of random graphs.

3. Power distribution and preferential linking.

4. Network structure identification

5. Community detection

6. Ties prediction and network inference

7. Network dynamics and dynamic network processes

8. Specification system Alloy and its usage for network applications.

9. Dynamic behaviro specification using timed automata (system UPPAAL)

10. Specification and verification of protocols using system UPPAAL

11. Checking sequence of finite state machines

12. Finite state machine behavior identification

13. Tools for network testing and diagnostics, automation of processes

14. Diagnostics of network and cloud applications.

Syllabus of tutorials:

One/two methods taken from each lecture are selected to define tasks of each seminar. The students work in groups up to three members and solve the assignments using the recommended methods. The solutions and results are delivered electronically that is checked and points are assigned.

Study Objective:

The course introduces mathematical, theoretical, and practical foundations required for solving of diagnostic system problems that can be modelled using complex network structures.

Study materials:

- WWW http://alloy.mit.edu/alloy/

- WWW http://www.uppaal.org/

- Software Abstractions - Logic, Language, and Analysis. Jackson, D. MIT Press, 2006

- Networks: An Introduction, M. E. J. Newman, Oxford University Press (2010)

- Networks, Crowds, and Markets: Reasoning about a Highly Connected World, Easley, D., Kleinberg, J.; Cambridge University Press, 2010

Further information:
No time-table has been prepared for this course
The course is a part of the following study plans:
Data valid to 2020-08-12
For updated information see http://bilakniha.cvut.cz/en/predmet4677106.html