Adaptive Red Deer Optimization (ADRO) Technique for Energy Efficient VM Migration in Cloud Computing
Keywords:
Cloud computing, Virtual Machine (VM), Migration, Adaptive Red Deer Optimization (ARDO), Energy efficientAbstract
Several migration techniques are available for migrating Virtual machine (VM) from one host to another. But they fail to consider the migration cost while determining the energy consumption during migration. The migration cost includes the migration time and distance. Hence the objective of this work is to design an optimized VM migration technique which simultaneously reduces the energy consumption and cost while avoiding (QoS) degradation. For this, Adaptive Red Deer Optimization algorithm for energy efficient VM migration (ARDO-EEM) in cloud computing is proposed. In ARDO-EEM, the overloading probability of each host is determined based on the total resource utilization of the host. Then the overloaded hosts are categorized into heavy, medium and light depending on two threshold values. VMs to be migrated are selected from the heavy and medium overloaded hosts with energy consumption higher than the available energy. The target VMs are selected using the ARDO algorithm based on the migration energy and resource utilization. Then each VM in the migration list is relocated to the selected target VM. Experimental results show that the proposed ARDO-EEM attains increased resource utilization with lesser power consumption and response delay.
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