Reload: Deep Reinforcement Learning-based Workload Distribution for Collaborative Edges

doi:10.1016/j.jpdc.2025.105191

Reload: Deep Reinforcement Learning-based Workload Distribution for Collaborative Edges

2025-11-05

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DOI：10.1016/j.jpdc.2025.105191

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• We consider edge servers executing tasks offloaded from end users collaboratively. • Reload, an intelligent DRL-based task scheduler is designed to schedule tasks. • Reload starts out knowing nothing and gradually learns to make better decisions.

Reload: Deep Reinforcement Learning-based Workload Distribution for Collaborative Edges

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