: 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 official journal publication is available at Springer Link . TpRam-Kelly.7z
The paper addresses the difficulty of optimizing resource allocation in cloud-native environments where microservices have complex dependencies. : It employs Deep Deterministic Policy Gradient (DDPG)
: It uses a Transformer-based attention mechanism to build a performance prediction model for microservice nodes on a system's "critical path". a reinforcement learning technique