ANALYSIS OF SOFTWARE REQUIREMENTS FOR LOCAL COMPUTER NETWORK MANAGEMENT

Abstract

The article investigates the requirements for software designed to manage local computer networks (LANs) in modern information systems. With the rapid growth in the number of connected devices and the increasing complexity of network infrastructures, traditional manual administration approaches are becoming inefficient and time-consuming. Therefore, the development of specialized software systems for centralized network monitoring and management has become an important task in the field of computer networks and information technologies.

The study analyzes both functional and non-functional requirements for network management systems. Particular attention is paid to such functions as continuous monitoring of network devices, traffic analysis, fault detection, security control, and automation of administrative processes. The paper also considers requirements related to reliability, scalability, system performance, and information security, which are essential for stable operation in networks with a large number of connected devices.

A prototype of a network management system based on a client–server architecture is proposed and experimentally evaluated. The server component performs data collection, processing, and storage of information about the state of the network infrastructure, while the client interface provides administrators with convenient tools for monitoring, configuration, and analysis of network parameters through a web-based interface.

An experimental study was conducted using a test network environment that included various types of devices such as servers, workstations, routers, and switches. The evaluation focused on system performance indicators, including response time and server load under different numbers of connected devices. The obtained results demonstrate that the developed system ensures stable monitoring and management of networks of moderate size, while maintaining acceptable response times and efficient processing of monitoring requests.

The research confirms the effectiveness of automated network management tools in improving the efficiency of network administration, reducing incident response time, and increasing the reliability of network infrastructure. The proposed approach can serve as a basis for further development of scalable and intelligent network management systems integrating modern technologies such as machine learning and advanced traffic analysis.