Journal Highly available systems №3 for 2025 year
Analysis of the integration capabilities of network attack protection tools for data-intensive systems

V.I. Korolev1, A.D. Abkhazi2

1 Federal Research Center «Computer Science» of the Russian Academy Sciences (Moscow, Russia)
1 Gubkin Russian State University of Oil and Gas (Moscow, Russia)
2 Federal State Budgetary Educational Institution of Higher Education «Moscow State Linguistic University»
(Moscow, Russia)
1 vkorolev@ipiran.ru, 2 artem.abkhazi@gmail.com

5-17
18-30
Grid system architecture for solving maintenance and repair tasks of knowledge-intensive products based on dynamic management of computational node states

A.V. Leonov1, V.I. Munerman2, I.N. Sinitsyn3

1, 2 Smolensk State university (Smolensk, Russia)
3 Federal Research Center «Computer Science and Control» of the Russian Academy of Sciences (Moscow, Russia)
1 alexsandr.leo@yandex.ru, 2 vimoon@gmail.com, 3 sinitsin@dol.ru

31-45
Study of modifications of the ant colony method in solving parametric problems taking into account the search time for the values of the objective function

Yu.P. Titov1

1 FIC «Informatics and Management» RAS (Moscow, Russia)
1 Moscow Aviation Institute (Moscow, Russia)
1 kalengul@mail.ru

46-57
Self-timed shift register implementation according to synchronous counterpart Verilog-description

Yu.A. Stepchenkov1, Yu.G. Diachenko2, D.V. Khilko3, D.Yu. Stepchenkov4, D.Yu. Diachenko5, B.A. Stepanov6

1–6 Federal Research Center «Computer Science» of the Russian Academy Science (Moscow, Russia)
1 YStepchenkov@ipiran.ru, 2 diaura@mail.ru, 3 dhilko@yandex.ru, 4 stepchenkov@mail.ru, 5 diaden87@gmail.com, 6 gtx360@mail.ru

58-68
A defects generation model in point clouds for training datasets creation

Y.A. Maniakov1, P.O. Arkhipov2, P.L. Stavtsev3

1–3 Orel Branch of Federal Research Center «Computer Science and Control» of the RAS (Orel, Russia)
1 maniakov_yuri@mail.ru; 2 arpaul@mail.ru; 3 pavelstavcev@gmail.com

69-78
Adaptive management of agricultural systems based on reinforcement learning and linear programming integration for variable activity sequences

R.Yu. Esikov1, V.I. Budzko2, N.A. Ryndin3

1, 2 Federal Research Center «Computer Science and Control» of the Russian Academy of Sciences (Moscow, Russia)
3 Voronezh State Technical University (Voronezh, Russia)
1 vhiteroman@gmail.com; 2 Vbudzko@frccsc.ru; 3 nikitaryndin@gmail.com

79-84