This research presents an innovative performance optimization solution for SSH/SCP protocols, designed to significantly enhance the efficiency of remote system management and file transfers. By improving data transmission algorithms and optimizing connection management, the new approach dramatically reduces network latency and resource consumption, making it particularly suitable for large-scale system environments requiring efficient data transfer. Although currently implemented independently, the community has suggested integrating it into mainstream SSH projects to benefit a broader user base. For developers and system administrators who frequently perform remote operations and file transfers, this technology will significantly improve work efficiency and reduce waiting times. With the growth of cloud computing and distributed systems, performance optimization of network protocols is becoming increasingly important, also positively impacting compute-intensive applications such as AI training and big data processing.
