Cloud Workflow Scheduling Based on Graph Attention-Driven Hierarchical Reinforcement Learning
Dynamic cloud workflow scheduling must balance deadline satisfaction, container utilization, and energy consumption while dealing with stochastic task-execution speeds, placement-dependent communication, and coupled task and container decisions. Workflows are naturally modeled as directed acyclic graphs (DAGs), but con...
Zong-Jin Li, Shaohan Feng, Chun-Xi Yang et al.
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