An Online Energy Saving Resource Optimization Methodology for Data Center

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Provided by: Academy Publisher
Topic: Data Management
Format: PDF
In order to reduce energy consumption of data centers while employing infrastructure resource effectively, a comprehensive resource management method using an improved online energy saving mapping algorithm for virtual machines of data centers is proposed. An intelligent feedback management framework is built for online resource optimization. The authors propose reinforcement learning and threshold based virtual machine migration to find the lowest energy consumption mapping between virtual machines and host of data centers dynamically and avoid the resources contention in physical machines.
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