@Article{jiot.2021.016936,
AUTHOR = {Denghui Zhang, Guocai Yin},
TITLE = {A Virtual Machine Placement Strategy Based on Virtual Machine Selection and  Integration},
JOURNAL = {Journal on Internet of Things},
VOLUME = {3},
YEAR = {2021},
NUMBER = {4},
PAGES = {149--157},
URL = {http://www.techscience.com/jiot/v3n4/46091},
ISSN = {2579-0080},
ABSTRACT = {Cloud data centers face the largest energy consumption. In order to 
save energy consumption in cloud data centers, cloud service providers adopt a 
virtual machine migration strategy. In this paper, we propose an efficient virtual 
machine placement strategy (VMP-SI) based on virtual machine selection and 
integration. Our proposed VMP-SI strategy divides the migration process into 
three phases: physical host state detection, virtual machine selection and virtual 
machine placement. The local regression robust (LRR) algorithm and minimum 
migration time (MMT) policy are individual used in the first and section phase, 
respectively. Then we design a virtual machine migration strategy that integrates 
the process of virtual machine selection and placement, which can ensure a 
satisfactory utilization efficiency of the hardware resources of the active physical 
host. Experimental results show that our proposed method is better than the 
approach in Cloudsim under various performance metrics.},
DOI = {10.32604/jiot.2021.016936}
}