MCRL2: Multi-resource Cross-attention-based Representation Learning-augmented Reinforcement Learning for Cloud Microservice Scheduling
This work proposes MCRL2, a novel reinforcement learning approach augmented with multi-resource cross-attention-based representation learning for microservice scheduling that significantly outperforms existing baselines in load balancing, scheduling success rate and average completion time across diverse workload patte...
Tiangang Li, Shi Ying, Xiang-Bo Tian et al.
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