Topics of Interest

The topics of interest include, but are not limited to:

Network and System Monitoring

• Next-generation monitoring and observability techniques for networks, systems, and applications
• Network observability frameworks, metrics, and telemetry pipelines
• Real-time monitoring of physical and virtualized infrastructures (servers, storage, WAN, wireless, cloud, edge)
• Distributed monitoring algorithms, protocols, and threshold detection

Cloud, Edge, and Virtualization

• Monitoring and management of cloud-native, edge, and fog environments
• Observability in containerized and microservice-based systems (Kubernetes, service meshes, etc.)
• Management of Software-Defined Networks (SDN) and Network Function Virtualization (NFV)
• Resource management and orchestration in multi-cloud and multi-access networks

AI/ML and Data-Driven Approaches

• AI/ML techniques for anomaly detection, performance optimization, and predictive monitoring
• Big data analytics for large-scale system and network observability
• Complex event processing and correlation for security and reliability
• Explainable AI and trustworthy monitoring systems

Automation and Self-Management

• Zero-touch networks and self-healing infrastructures
• Adaptive and autonomous management protocols
• Runtime monitoring, passive testing, and verification methods
• Formal methods for monitoring, testing, and assurance

Security and Trust

• AI/ML-driven techniques for system and network security monitoring
• Intrusion detection, attack detection, and mitigation
• Monitoring privacy-preserving systems and encrypted traffic
• Trade-offs between performance, availability, and security in monitoring

Experimental and Practical Perspectives

• Non-intrusive instrumentation and lightweight monitoring tools
• Testbeds, benchmarking, and industrial-scale evaluations
• Standards, interoperability, and best practices in monitoring and observability
• Case studies and real-world deployment experiences