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Virtual machine (VM) placement in cloud data centers is a challenging task. With the increasing popularity of cloud computing across the globe, a large number of VMs are to be consolidated on a minimum number of data centers (DCs) to optimize the energy consumption and data center utilization. In this paper, we propose a resource aware approach based on a metaheuristic crow search algorithm (CSA)...
Virtual Machine (VM) placement is an important research area for power conservation in data centers. In this paper, we introduce a hybrid queuing model for VM placement for data centers to improve total placement time and earn more revenue. For the large data center management smaller placement times lead to greater quality of service (QoS) experienced by an user of the cloud infrastructure. Similarly,...
Cloud computing allows users to access resources on demand. The size of data centers increase with the increasing demand for resources by users. Increase in the size of data centers is directly proportional to energy consumption. The total energy requirement has to be minimized by distributing virtual machine requests over data centers optimally, with the consideration of prices of distribution of...
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