Subject description - BE2M32DSAA
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Instructions
| BE2M32DSAA | Network Application Diagnostics | ||
|---|---|---|---|
| Roles: | PV | Extent of teaching: | 2P + 2C |
| Department: | 13132 | Language of teaching: | EN |
| Guarantors: | Mařík R. | Completion: | Z,ZK |
| Lecturers: | Mařík R. | Credits: | 6 |
| Tutors: | Cibuľa M., Mařík R. | Semester: | Z |
Web page:
https://cw.fel.cvut.cz/wiki/courses/BE2M32DSAAAnotation:
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.Study targets:
The course introduces mathematical, theoretical, and practical foundations required for solving of diagnostic system problems that can be modelled using complex network structures.Course outlines:
| 1. | Introduction to diagnostics, testing, and verification of network applications. | |
| 2. | Fundamental characteristics 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 behavior specification using timed automata (system UPPAAL) | |
| 10. | Specification and verification of protocols using system UPPAAL | |
| 11. | Finite state machines testing. | |
| 12. | Checking sequences of finite state machines | |
| 13. | Finite state machine behavior identification | |
| 14. | Multilayer network diagnostics. |
Exercises outline:
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.Literature:
- 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, 2010Requirements:
- Knowledge of linear algebra and graph theory.Keywords:
complex network, community detection, software specification, Alloy, UPPAAL, finite machine identification, diagnostics of network applications Subject is included into these academic programs:| Program | Branch | Role | Recommended semester |
| MEEK4_2018 | Technology of the Internet of Things | PV | 3 |
| Page updated 25.4.2024 09:51:41, semester: L/2023-4, Z/2024-5, Z/2023-4, Send comments about the content to the Administrators of the Academic Programs | Proposal and Realization: I. Halaška (K336), J. Novák (K336) |