Remote Serial Port Virtualization Management System based on Brotli Compression Algorithm

Abstract

With the rapid development of information technology, data communication and management systems are becoming more and more important in various industries. Especially in remote device management and data center operations, effective data processing and transmission mechanisms are crucial to ensuring system performance and reliability. In this context, serial port virtualization technology is particularly important because it allows remote devices to be controlled and monitored over the network, so that physical location constraints are no longer an obstacle to efficiency and effectiveness. However, as the amount of data increases, the efficiency of data transmission and storage becomes a key issue. Although traditional compression algorithms solve this problem to a certain extent, they often fail to provide ideal compression ratios and processing speeds when processing large amounts of data, especially in environments with limited bandwidth or limited computing resources. Therefore, finding an efficient compression algorithm has become the key to improving the performance of the remote serial port virtualization management system. This article adopts the method of integrating the Brotli algorithm into the system to solve the data compression and transmission efficiency problems faced in the traditional serial port virtualization system, thereby improving the overall performance and user experience.