… N 1 Algo 2 See simple examples of this abstract, formal analogue of the virtual machines
that are discussed under programming topics. It is important to stress that (different aspects of …

… (VM) dynamic consolidation method based on adaptive overloaded threshold selection was
… (QoS) of data centers, an adaptive overloaded threshold selection problem model based on …

… for virtualized service centers based on reinforcement learning [C]… learning automata-based
algorithm for energy and SLA efficient consolidation of virtual machines in cloud data centers …

… Nevertheless, open mists offer clients of virtual machines (VMs) a … data- intensive services
through energy- and QoS-aware virtual machine placement in national cloud data centers…

… three representative approaches based on machine learning and … configuration and
reconfiguration of virtual machines[35]. … datacenter, which utilizes short term prediction of solar and …

… in this paper,which interrelated virtual machine selection and its placement. An energy …
reinforcement learning approach for dynamic selection of virtual machines in cloud data centres…

… A reinforcement learning approach for dynamic selection of virtual machines in cloud
data centres[C]//Proceedings of The Sixth International Conference on Innovative …

… fluctuation in cloud computing center,this paper studies the timing prediction of resource …
and dynamic migration of virtual machine. Firstly,the dynamic scheduling strategy of cloud …

… Virtual machines (VMs) have replaced blade servers as the basic management unit of
large-scale data centers as cloud computing … We compared different machine learning algorithms …