Optimizing the placement of cloud data center in virtualized environment

<p><span>In cloud mobile networks, precise assessment for the position of virtualization powered center would improve capacity limit, latency and energy efficiency (EEf). This paper utilized Monte Carlo oriented particle swarm optimization (PSO) genetic algorithm (GA) to first, obtain optimal number virtual machines (VMs) that maximize EEf center, second, optimize data center. To fulfil such examination, a power evaluation framework is proposed shape utilization virtualized server while hosting an amount VMs. In addition, total consumption network examined, including radio units (RUs). based on linear modelling parameters, as resource blocks, VMs, transmitted received powers, overhead consumption. Finally, constrained many quality service (QoS) metrics, minimum user's rate.</span></p>