Tpram-kelly.7z May 2026

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

: 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 paper addresses the difficulty of optimizing resource allocation in cloud-native environments where microservices have complex dependencies. : It uses a Transformer-based attention mechanism to

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. a reinforcement learning technique

: The official journal publication is available at Springer Link .

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