Open AccessJournal Article
Cloud Computing Resource Scheduling Strategy Based on Prediction and ACO Algorithm
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TL;DR: Results of simulation show that in the case of running VMs normally, cloud computing resource scheduling strategy based on prediction and ACO algorithm can reduce the power consumption of datacenter effectively.
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Abstract: Cloud computing resource scheduling was studied.The current static grid resource scheduling algorithms consider only the minimization of the makespan,so they can not meet the demands of cloud computing resource scheduling.In order to adapt to the dynamic and real-time nature and solve the issue of cloud computing resource scheduling and decrease the power consumption of datacenter,we proposed a cloud computing resource scheduling algorithm based on prediction and ACO algorithm.When the utility of datacenter is low,the improved ACO algorithm is executed to assign VMs to hosts.Dynamic tendency prediction strategy was used to predict the load of datacenter and turn on/off hosts.The results of simulation show that in the case of running VMs normally,cloud computing resource scheduling strategy based on prediction and ACO algorithm can reduce the power consumption of datacenter effectively.
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The Cloud Parameters Specification and Scheduling Optimization on Multidimensional Qos Constraints
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