A Secure and Multiobjective Virtual Machine Placement Framework for Cloud Data Center

To facilitate cost-effective and elastic computing benefits to the cloud users, energy-efficient secure allocation of virtual machines (VMs) plays a significant role at data centre. The inefficient VM Placement (VMP) sharing common physical among multiple users leads resource wastage, excessive power consumption, increased inter-communication cost security breaches. address aforementioned challenges, novel multi-objective machine placement (SM-VMP) framework is proposed with an efficient migration. ensures distribution resources VMs that emphasizes timely execution user application by reducing delay. VMP carried out applying Whale Optimization Genetic Algorithm (WOGA), inspired whale evolutionary optimization non-dominated sorting based genetic algorithms. performance evaluation for static dynamic comparison recent state-of-the-arts observed notable reduction in shared servers, cost, consumption time up 28.81%, 25.7%, 35.9% 82.21%, respectively utilization 30.21%.