Real Time Modeling and Simulation Algorithms for Optimization of Computer Networks Data Traffic

Abstract

An innovative approach for modeling and simulation algorithms to optimize data traffic in computer networks is presented. The proposed methodology for finding solutions, such as plug-in devices between the parties of communication, which allow for secure and compressed data transfer is briefly described. This paper shows the perspective of the research needed to find appropriate algorithms, including artificial intelligence and neural networks, and then the necessity to develop model and simulate processor architecture of the mentioned properties in real time. The approach is based on modeling using modification of Petri nets called Hardware Petri Nets implemented in form of CAD software. The hardware implementation will be on specific universal balanced architecture on Field-Programmable Gate Array (FPGA).