Research on Energy - aware Virtual Machine Scheduling in Cloud Environment ⋆
نویسندگان
چکیده
Nowadays, there are lots of problems in Cloud data center such as high energy consumption and low efficiency. We model a cloud environment with physical hosts and virtual machines, and design an Energy-Aware Virtual Machine Scheduling strategy (EAVMS) to reduce energy consumption and improve utilization rate by integrating system resource such as computing, storage and bandwidth resources. Experimental results show that the algorithm effectively reduce energy consumption, while improving system multi-dimensional resource utilization and minimize cost of virtual machine migration.
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