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Performance Analysis for Consensus Algorithms in Networks with Failures

Student: Kudriavtcev Artem

Supervisor: Larisa Manita

Faculty: HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE)

Educational Programme: Control Systems and Data Processing in Engineering (Master)

Final Grade: 9

Year of Graduation: 2020

This paper studies the mathematical models of multi-agent networks consisting of an exact time server, special (boundary) nodes, and nodes of the internal network. Network nodes are unreliable. It means that with some probability a node may breakdown. The main goal is to identify effective data matching algorithms. In addition, one of the tasks is to build a simulation model of the system. The paper evaluates the effectiveness of matching algorithms for various models of multi-agent networks. The Python programming language was used for computer modeling and visualization of results. The total amount of work is 64 pages.

Full text (added May 24, 2020)

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