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Ming-Kai Zhen

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Open access Sep 2026

Multi-Objective DRL for Efficient Kubernetes Microservice Scheduling

This study formulates the multi-objective microservice deployment problem in Kubernetes, balancing service latency and resource utilization, and proposes a deep reinforcement learning method with reward shaping and heuristic scaling to derive optimal deployment policies.

Hao Feng, Yun-Mei Shi, Ming-Kai Zhen · 0 citations

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