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əməkdaslarının elmi isləri
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Konfranslar İnformasiya Sistemi
Qəzetlər
UOT 004
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| ITI əməkdaşlarının elmi işləri - tezis |
| Biblioqrafik təsvir | | Alekberov , R.K. Reducing Delays and Optimizing Model in Fog Computing-Based SCADA Systems / R.K. Alekberov , M.A. Hashimov // 6th International Conference on Problems of Cybernetics and Informatics (PCI2025). . - Baku, 2025. - P. 137-140. | | Annotasiya | | —SCADA systems are of great importance in
monitoring and safely managing operations in the oil and gas
industry. However, these systems face network challenges due
to delays in communication channels. Fog Computing
technology provides an effective solution to handle these
challenges. Processing data at the network edge, explicitly, at
points close to the source, increases the response speed of
SCADA systems, reduces network load, and enhances security.
This article examines the architecture of Fog Computing-based
SCADA systems and their implementation possibilities in the oil
and gas industry. The proposed mathematical model provides
optimal deployment of sensor data in fog devices in Fog
Computing-based SCADA systems, upsurges the response speed
of the system, lessens network load and balances computing
resources | | | Elektron variant | | Elektron variant |
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