Juniper Router
Juniper routers are network devices whose efficient operation is crucial for data transmission. Current research focuses on improving their performance and security through advanced techniques like edge caching, often employing deep reinforcement learning (especially semi-Markov Decision Processes and deep Q-learning) to optimize data storage and retrieval based on file characteristics. Another key area involves anomaly detection in router logs using machine learning models such as One-Class Support Vector Machines (SVM) to identify and address malfunctions promptly, thereby reducing operational costs and improving network reliability. These advancements contribute to more robust and efficient network infrastructure.
Papers
February 8, 2024