: 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.
: A preprint or abstract of the work is hosted on ResearchGate .
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) , a reinforcement learning technique, to dynamically adjust CPU, memory, and I/O disk allocation based on real-time requirements.
: A preprint or abstract of the work is hosted on ResearchGate . 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)