A virtual machine migration algorithm based on dynamically changing thresholds
  
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KeyWord:Cloud data center, Virtual machine migration, Dynamic threshold, Load balancing, Energy consumption
     
AuthorInstitution
Qianqian Feng School of Information and Electric Engineering, Hebei University of Engineering, Handan Hebei, China
Bingjiang Gong School of Information and Electric Engineering, Hebei University of Engineering, Handan Hebei, China
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Abstract:
      As virtual machines with static threshold in cloud computing environment cannot optimize energy consumption and load balancing of system according to cloud loads in real time, an optimized virtual machine migration algorithm is proposed. This is a method to dynamically change threshold range by forecasting task volume of data center, then select the proper time, migration object and target host and combine migration strategy to complete dynamic migration and integration of virtual machine. This method can reduce the workload of servers so as to minimize the energy consumption of data center. Experiment showed that the proposed method would efficiently enhance resource usage of servers, reduce the number of redundant servers, and increase overall energy efficiency of data center.
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