EETS: An energy-efficient task scheduler in cloud computing based on improved DQN algorithm
The huge energy consumption of data centers in cloud computing leads to increased operating costs and high carbon emissions to the environment. Deep Reinforcement Learning (DRL) technology combines of deep learning and reinforcement learning, which has an obvious advantage in solving complex task sc...
| Published in: | Journal of King Saud University - Computer and Information Sciences |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
King Saud bin Abdulaziz University
2024
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203169651&doi=10.1016%2fj.jksuci.2024.102177&partnerID=40&md5=a911cc63c5c74c0a8db689c38312aa6f |