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: 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.

: It uses a Transformer-based attention mechanism to build a performance prediction model for microservice nodes on a system's "critical path". TpRam-Kelly.7z

: The official journal publication is available at Springer Link . : It employs Deep Deterministic Policy Gradient (DDPG)

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The file refers to the research paper titled " Transformer-based performance prediction and proactive resource allocation for cloud-native microservices ," published in Cluster Computing in August 2025.

The file name is a shorthand for the framework (Transformer-based Prediction and Resource Adaption Method) and likely one of its primary authors or a related contributor, such as Yang Chen or Hongyan Xia (whose research is often associated with these models). Paper Summary: TPRAM