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, Xiangbo Tian et al.
· 0 citations