Development of a Model and Algorithms for Servicing Real-Time and Data Traffic in a Cloud Computing System

Abstract

Today, modern low earth orbit (LEO) mobile satellite systems require constant data exchange with cloud computing centers located on Earth to work correctly. Moreover, there is both real-time data transmission and data that allows for a delay, this, for example, may be telemetry data. In the described model the key performance features of the conjoint traffic processing were defined. They are defined using values of probabilities of the model’s stationary states. The numerical algorithm of measuring of designed performance metrics by solving the state equations system with the help of the Gauss-Zeidel algorithm is presented. The model and the resulting algorithms can be used to assess the service quality and load levels of a small cloud computing node. One of the possible options for future research on this topic may be to restrict the access of applications for data processing to prioritize the processing of real-time applications.