| Rashid Alakbarov, Mammad Hashimov Reducing Delays and Optimizing Model in Fog Computing-Based SCADA Systems |
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| Abstract. 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. |
| Keywords: SCADA systems, FOG computing, Fog Computing-Based SCADA System, Objective Function |
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