Theoretical algorithm for traffic decorrelation in Fog computing
Igor V. Kartashevskiy, Vladimir Osanov · 2023
Given that the presence of correlations in traffic can have a significant impact on the values of service quality parameters, which must be taken into account in the design of services, especially services that are critically dependent on these parameters, the need to develop methods and algorithms for processing correlated traffic increases. This paper presents a theoretical method for decorrelation of network traffic for the purpose of reducing latency in the transmission and processing of video traffic in fog computing. An algorithm and implementation concept for implementing the decorrelation is also given. The method is based on the use of Haar wavelets.