Improving traffic quality of service in hybrid networks with cloud and fog layers

Improving the quality of service (QoS) in hybrid networks with cloud and fog levels is an urgent task of modern development of telecommunication systems. As the volume of data transferred increases, traditional resource management methods become insufficiently effective. Hybrid networks combining cloud and fog computing can significantly improve performance and reduce latency. An urgent task is to ensure a balance between high throughput, minimal delays and low packet loss. Efficient resource allocation helps to reduce energy consumption and operating costs. The article is devoted to optimizing the quality of traffic service in hybrid networks combining cloud and fog computing. A mathematical model based on a system of differential equations is presented that describes the dynamics of load, queues, resource allocation, delays, and packet losses. The model formalizes the task of optimal resource management in order to minimize delays and losses with limited capabilities. Numerical integration methods are used for the solution. The developed algorithm makes it possible to effectively balance the load between cloudy and foggy levels. The proposed approach proves its effectiveness for optimizing modern telecommunication systems, especially for applications with critical response time requirements.

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