Artificial Intelligence and Deep Learning for Network Management and Communication

With the recent advances in the field of Artificial Intelligence (AI), and especially the breakthroughs in Machine Learning (ML) and Deep Learning, we are experiencing more research interest in adopting AI as a tool for solving modern computer networks problems. Computer networks are becoming increasingly complex and dynamic. AI is revolutionizing how complex computer networks and services are managed by making more informed decisions based on the vast amount of network data. AI techniques have shown great promises in many network and service management problems including cloud management, routing and traffic engineering, cybersecurity, etc. AI has also been a central component in cognitive networks and communication researches.

In this themed Article Collection, we solicit contributions about applications of AI/ML/Deep Learning in computer networks and communication including this non-exhaustive list of topics:
- Autonomous Management of data centers and cloud infrastructures
- Modern applications of AI or ML in the management of networks and services
- Cybersecurity including anomaly detection, malware detection etc.
- Modern approaches in cognitive computing
- Self-managing middleware and tools for extreme scales
- Big data analytics frameworks for networking data
- Network monitoring and performance anomaly detection
- Machine learning for multimedia networking
- Resource allocation in networks using ML
- Deep learning and reinforcement learning in network control and management
- Applications of Game Theory in computer networks
- Applications of Evolutionary Computing in network optimization
- Applications of AI in network configuration tuning
- Testing of Cyber-physical systems systems using AI and ML
- Autonomous Sensors Networks and self-organizing systems
- Adaptive Stream-mining and resource efficient scientific computing