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Resource Scheduling Model in Computing Power Network: An Efficient and Low‐Carbon Approach Using Game Theory

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Resource scheduling model demonstrates reduced energy usage in computing power networks, suggesting enhanced efficiency.

The proposed model decreases thermal electricity usage, enhancing task completion quality in computing networks.
Resource scheduling is optimized using game theory to manage demands across data centers and electricity resources.
Conflicting demands among computing tasks and resources were addressed to support network operations effectively.
This approach could significantly lower energy consumption and carbon emissions within data centers.

Zhang et al. (2025) studied this question.

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