Design and Implementation of Intelligent Computing Simulation Platform for Future Network Architecture

With the rapid development of cloud computing, Internet of Things (IoT), big data and AI technologies, the research of future network architecture is facing new challenges and opportunities. In order to meet the simulation requirements of future network architecture research for high performance, high fidelity and high scalability, this paper designs and implements an intelligent computing simulation platform for future network architecture. Combining cloud computing, big data analysis and AI technology, the platform aims to provide a powerful, flexible and realistic network simulation environment to support researchers’ research, development and testing of network protocols, algorithms and system performance. The platform adopts modular design, including front-end, back-end and database, which ensures the efficient cooperation of the system and the smooth flow of data. The core functions of the platform include network modeling, simulation execution, data analysis and visual display. The platform also integrates intelligent technologies such as cloud computing, big data analysis and AI, which significantly improves the fidelity and efficiency of simulation. Through the system test, the excellent performance of the platform in simulation accuracy, response time and stability is verified. The platform provides a powerful, efficient and realistic simulation environment for the future research and development of network architecture, which is of great significance for promoting the development and innovation of network technology in the future.