Deadline-aware and energy-efficient dynamic flow scheduling in data center network

Machine Learning Empowered Intelligent Data Center Networking: A Survey

“…Whenever the predefined policies are exceeded, the system lacks adaptive processing capability through autonomous learning, and human intervention must be involved. In the face of these challenges and issues, the traditional solutions [5][6][7][8][9][10][11] have become inefficient and incompetent. Moreover, with data availability and security at stake, the issues of data centers are more critical and challenging than ever before [12,13].…”