DPA-TA2C: Dynamic Priority-Aware Workflow Scheduling Method with Transformer and A2C in Cloud Data Center
Fashun Jian, Guowei Shen, Xiaodan Lv, Chun Guo et autres
Workflow scheduling in cloud data centers faces challenges such as task dependencies, resource heterogeneity, and dynamic workloads. Heuristic and meta-heuristic algorithms lack environment awareness and fail to meet real-time scheduling requirements. Existing deep reinforcement learning algorithms exhibit specific environment-aware capabilities; however, their …
cn (code pays fourni par la source)
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