: It employs Deep Deterministic Policy Gradient (DDPG) , a reinforcement learning technique, to dynamically adjust CPU, memory, and I/O disk allocation based on real-time requirements.
The paper addresses the difficulty of optimizing resource allocation in cloud-native environments where microservices have complex dependencies. TpRam-Kelly.7z
You can find the full text or official citation through these platforms: : It employs Deep Deterministic Policy Gradient (DDPG)