Optimized Algorithms for Virtual Machine Placement based on Multi-Dimensional Resource Characteristics in Cloud Computing Systems

Virtual machine placement to the PMs of the cloud datacenter is one of the important problems in cloud environment to provide better service to the cloud users. This research work proposed techniques to improve the performance of virtual machine placement in cloud environment. The proposed placement algorithm consisted of two main tasks. The first task optimizes the scheduling, while the second task enhances the operation of load balancing. The scheduling and load balancing is performed as a two-step process, where the first step groups resource requests into three categories, namely, high, low and medium resource requests queues and the second step performs scheduling and load balancing. The proposed VMP-LR, during non-rush hours, as the number of requests is minimum, uses an enhanced round robin method. During rush hours, in order to accommodate high resource requests, separate hybrid scheduling and load balancing algorithms are used to handle high, low and medium queues. The simulation results proved that the proposed algorithms are efficient in mapping VMs to PMs effectively in terms of cloud service response time and can save energy and increase resource utilization in a positive manner. KeywordsVirtual machine, Physical machine, VM Placement, VM Migration, Load Monitoring