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Integration of PBFT and Raft Algorithms with Recurrent Neural Networks to Improve the Reliability of Distributed Systems. / Bogdanov, Alexander; Shchegoleva, Nadezhda; Khvatov, Valery; Kiyamov, Jasur; Dik, Gennady; Rakhmatullayev, Ilkhom; Ergashev, Shakhboz; Umurzakov, Oybek.
Computational Science and Its Applications -- ICCSA 2024 Workshops. ред. / Osvaldo Gervasi; Beniamino Murgante; Chiara Garau; David Taniar; Ana Maria A. C. Rocha; Maria Noelia Faginas Lago. Cham : Springer Nature, 2024. стр. 226-237 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Том 14815 LNCS).
Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › Рецензирование
Harvard
Bogdanov, A
, Shchegoleva, N, Khvatov, V
, Kiyamov, J, Dik, G, Rakhmatullayev, I, Ergashev, S & Umurzakov, O 2024,
Integration of PBFT and Raft Algorithms with Recurrent Neural Networks to Improve the Reliability of Distributed Systems. в O Gervasi, B Murgante, C Garau, D Taniar, AMA C. Rocha & MN Faginas Lago (ред.),
Computational Science and Its Applications -- ICCSA 2024 Workshops. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Том. 14815 LNCS, Springer Nature, Cham, стр. 226-237, The 24th International Conference on Computational Science and Its Applications, ICCSA 2024, Ханой, Вьетнам,
1/07/24.
https://doi.org/10.1007/978-3-031-65154-0_14APA
Bogdanov, A.
, Shchegoleva, N., Khvatov, V.
, Kiyamov, J., Dik, G., Rakhmatullayev, I., Ergashev, S., & Umurzakov, O. (2024).
Integration of PBFT and Raft Algorithms with Recurrent Neural Networks to Improve the Reliability of Distributed Systems. в O. Gervasi, B. Murgante, C. Garau, D. Taniar, A. M. A. C. Rocha, & M. N. Faginas Lago (Ред.),
Computational Science and Its Applications -- ICCSA 2024 Workshops (стр. 226-237). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Том 14815 LNCS). Springer Nature.
https://doi.org/10.1007/978-3-031-65154-0_14Vancouver
Bogdanov A
, Shchegoleva N, Khvatov V
, Kiyamov J, Dik G, Rakhmatullayev I и пр.
Integration of PBFT and Raft Algorithms with Recurrent Neural Networks to Improve the Reliability of Distributed Systems. в Gervasi O, Murgante B, Garau C, Taniar D, C. Rocha AMA, Faginas Lago MN, Редакторы, Computational Science and Its Applications -- ICCSA 2024 Workshops. Cham: Springer Nature. 2024. стр. 226-237. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
https://doi.org/10.1007/978-3-031-65154-0_14Author
BibTeX
@inproceedings{7cb4c1e3615248e19f538aaa3e6190da,
title = "Integration of PBFT and Raft Algorithms with Recurrent Neural Networks to Improve the Reliability of Distributed Systems",
abstract = "The combined approach proposes the use of PBFT and Raft to ensure data consistency and fault tolerance in the system, and also integrates recurrent neural networks to analyze and predict the behavior of nodes in the network. RNNs can be used to detect anomalies, predict system load, and analyze time series data related to node operation. The proposed combined approach opens up new prospects for the development of distributed systems, increasing their reliability, fault tolerance and adaptability to changing conditions. Further research in this direction could lead to more efficient and secure distributed systems that can efficiently handle complex real-world scenarios.",
keywords = "Distributed Systems, PBFT, Raft, Recurrent Neural Networks, Reliability Ensuring",
author = "Alexander Bogdanov and Nadezhda Shchegoleva and Valery Khvatov and Jasur Kiyamov and Gennady Dik and Ilkhom Rakhmatullayev and Shakhboz Ergashev and Oybek Umurzakov",
year = "2024",
month = jul,
day = "30",
doi = "10.1007/978-3-031-65154-0_14",
language = "English",
isbn = "978-3-031-65154-0",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Nature",
pages = "226--237",
editor = "Osvaldo Gervasi and Beniamino Murgante and Chiara Garau and David Taniar and {C. Rocha}, {Ana Maria A.} and {Faginas Lago}, {Maria Noelia}",
booktitle = "Computational Science and Its Applications -- ICCSA 2024 Workshops",
address = "Germany",
note = "The 24th International Conference on Computational Science and Its Applications, ICCSA 2024, ICCSA ; Conference date: 01-07-2024 Through 04-07-2024",
url = "https://2024.iccsa.org/",
}
RIS
TY - GEN
T1 - Integration of PBFT and Raft Algorithms with Recurrent Neural Networks to Improve the Reliability of Distributed Systems
AU - Bogdanov, Alexander
AU - Shchegoleva, Nadezhda
AU - Khvatov, Valery
AU - Kiyamov, Jasur
AU - Dik, Gennady
AU - Rakhmatullayev, Ilkhom
AU - Ergashev, Shakhboz
AU - Umurzakov, Oybek
PY - 2024/7/30
Y1 - 2024/7/30
N2 - The combined approach proposes the use of PBFT and Raft to ensure data consistency and fault tolerance in the system, and also integrates recurrent neural networks to analyze and predict the behavior of nodes in the network. RNNs can be used to detect anomalies, predict system load, and analyze time series data related to node operation. The proposed combined approach opens up new prospects for the development of distributed systems, increasing their reliability, fault tolerance and adaptability to changing conditions. Further research in this direction could lead to more efficient and secure distributed systems that can efficiently handle complex real-world scenarios.
AB - The combined approach proposes the use of PBFT and Raft to ensure data consistency and fault tolerance in the system, and also integrates recurrent neural networks to analyze and predict the behavior of nodes in the network. RNNs can be used to detect anomalies, predict system load, and analyze time series data related to node operation. The proposed combined approach opens up new prospects for the development of distributed systems, increasing their reliability, fault tolerance and adaptability to changing conditions. Further research in this direction could lead to more efficient and secure distributed systems that can efficiently handle complex real-world scenarios.
KW - Distributed Systems
KW - PBFT
KW - Raft
KW - Recurrent Neural Networks
KW - Reliability Ensuring
UR - https://www.mendeley.com/catalogue/954466b9-4d1b-3227-8dec-2944294b2620/
U2 - 10.1007/978-3-031-65154-0_14
DO - 10.1007/978-3-031-65154-0_14
M3 - Conference contribution
SN - 978-3-031-65154-0
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 226
EP - 237
BT - Computational Science and Its Applications -- ICCSA 2024 Workshops
A2 - Gervasi, Osvaldo
A2 - Murgante, Beniamino
A2 - Garau, Chiara
A2 - Taniar, David
A2 - C. Rocha, Ana Maria A.
A2 - Faginas Lago, Maria Noelia
PB - Springer Nature
CY - Cham
T2 - The 24th International Conference on Computational Science and Its Applications, ICCSA 2024
Y2 - 1 July 2024 through 4 July 2024
ER -
