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HiGAT-AC: Hierarchical Graph Attention with Actor-Critic for Scalable Multi-Objective Workflow Scheduling

As scientific workflows grow more complex and green computing becomes a priority, efficient multi-objective scheduling is essential to optimize makespan, cost, and energy consumption for large task graphs. However, existing methods often suffer from scalability bottlenecks and insufficient modeling...

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Principais autores: Can Wu, Haili Xiao, Xiaoning Wang, Yining Zhao, Shasha Lu, Rong He
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2026-06-01
Serier:Applied Sciences
Fag:
workflow scheduling
graph attention networks
reinforcement learning
multi-objective optimization
Online adgang:https://www.mdpi.com/2076-3417/16/12/5777
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