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
: 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. TpRam-Kelly.7z
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
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: Experimental results using the DeathStarBench benchmark showed that TPRAM can save at least 40.58% of CPU and 15.84% of memory resources while maintaining end-to-end Quality of Service (QoS). Accessing the Paper