Improving energy consumption in cloud computing datacenters using a combination of energy-aware resource allocation and scheduling mechanism
Cloud datacenters consume huge amounts of electrical energy resulting in carbon dioxide emissions and high operating costs. In 2013, energy consumed by global datacenters was estimated to be between 1.1% and 1.5% of the worldwide energy usage and is predicted to grow further. This thesis introduc...
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Format: | Thesis |
Language: | English |
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2017
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Online Access: | http://psasir.upm.edu.my/id/eprint/71108/1/FK%202017%2023%20-%20IR.pdf |