DESIGNING THE COMPLEX MONITORING IN DISTRIBUTED INFORMATION AND COMMUNICATION SYSTEMS

This paper explores the development and implementation of a comprehensive monitoring and management solution designed to ensure high Quality of Service (QoS) in Distributed Information and Communication Systems (DICS).It focuses on the prerequisites and technological foundations necessary for the early detection of anomalies in network performance and the automatic reallocation of resources across multiple layers of infrastructure, including network, computational, and service levels.As modern DICS operate in increasingly complex and dynamic environments, maintaining stability and service quality requires adaptive, intelligent, and scalable solutions.The proposed architecture is based on the integration of distributed telemetry agents, centralized telemetry storage systems, and hybrid data processing methodologies.These tools work together to analyze performance indicators like latency, jitter, packet loss, CPU load, and bandwidth usage in real time, enabling proactive response to performance degradation or resource overloads.A key aspect of the system is its decision-making and automation capability, achieved through integration with modern orchestration and network management environments.These environments support near realtime adaptation of infrastructure based on analytical insights provided by the monitoring system, thus enabling self-healing, load balancing, and failover mechanisms without human intervention.The designed solution is modular and interoperable, making it suitable for seamless integration into existing network and service management platforms.It enhances the reliability, fault tolerance, and scalability of distributed architectures, particularly in scenarios involving high user demand, geographic dispersion, heterogeneous infrastructure (including cloud and edge computing), or stringent SLA requirements.By enabling intelligent monitoring and automatic adaptation, the system ensures sustained service quality, operational efficiency, and resilience even under conditions of unpredictable load spikes or security threats.