Toward efficient compute-intensive job allocation for green data centers : a deep reinforcement learning approach
Reducing the energy consumption of the servers in a data center via proper job allocation is desirable. Existing advanced job allocation algorithms, based on constrained optimization formulations capturing servers’ complex power consumption and thermal dynamics, often scale poorly with the data c...
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| Format: | Thesis |
| Language: | English |
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2019
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| Online Access: | https://hdl.handle.net/10356/104419 http://hdl.handle.net/10220/50011 |