From Simulation to Deep Learning: Survey on Network Performance Modeling Approaches

📰 ArXiv cs.AI

Survey on network performance modeling approaches from simulation to deep learning

advanced Published 31 Mar 2026
Action Steps
  1. Identify traditional network performance modeling approaches such as Discrete Event Simulation (DES) and analytical methods
  2. Analyze the limitations and challenges of these traditional approaches
  3. Explore the application of deep learning techniques to network performance modeling
  4. Evaluate the potential of deep learning models to improve the accuracy and efficiency of network performance prediction
Who Needs to Know This

Network engineers and researchers benefit from this survey as it provides an overview of existing approaches, while data scientists and AI engineers can apply these methods to improve network performance modeling

Key Insight

💡 Deep learning techniques can improve the accuracy and efficiency of network performance modeling

Share This
📊 Network performance modeling: from simulation to deep learning #AI #networks
Read full paper → ← Back to Reads