Energy efficient task scheduling based on deep reinforcement learning in cloud environment: A specialized review
The expanding scale of cloud data centers and the diversification of user services have led to an increase in energy consumption and greenhouse gas emissions, resulting in long-term detrimental effects on the environment. To address this issue, scheduling techniques that reduce energy usage have bec...
| Published in: | Future Generation Computer Systems |
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| Main Author: | |
| Format: | Review |
| Language: | English |
| Published: |
Elsevier B.V.
2024
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174552639&doi=10.1016%2fj.future.2023.10.002&partnerID=40&md5=aa7bde25c26ff1790a01e5aa5322ef8f |