Abstract: For dynamic task scheduling problems in cloud computing environments, we propose a deep reinforcement learning algorithm based on graph neural networks (GNN-PPO) that enables real-time ...

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Abstract: We present an efficient algorithm for workflow scheduling, where the resource-request graph can be modeled as a directed acyclic graph (DAG) to enable parallel execution. Our algorithm ...

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