Simulation of Network Model on Cloud Technology based on Mathematical Framework

Computer-based simulation of disease distribution is an important tool used to investigate the spread of infectious diseases. One of the most important theoretical developments has been the integration of mathematical modeling and the implementation of cloud-based technology. We propose the use of cloud technology to simulate a network model. The data generated as output from C++ software, based on the assumption of a mathematical framework of a SEIQR network model, are used as datasets for simulation. The simulation results of the mathematical model were studied in this paper. By applying mathematical software to cloud technology, this study investigates using available cloud services as a SaaS model. The data were analyzed using content analysis. The approach for simulation using mathematical software and cloud-based mathematical software were analyzed as follows: 1. the display of the graph; 2. the runtime performance. The results of the simulation are also discussed.