Research on virtual machine resource scheduling strategy based on Cdvrs

Research on virtual machine resource scheduling strategy based on Cdvrs

Liu Lindong Chenhong

Cloud computing is an important issue in cloud computing by virtualizing physical resources such as processors, storage, and networks into virtual machines, assigning virtual machines to users, and dispatching virtual machines to physical resources. A virtual machine resource scheduling model based on classification mining and its algorithm Cdvrs (fictitious machine Resource scheduling based on classification data mining solves this problem, collects the historical information of the user accessing the virtual machine and the virtual machine mapping physical resources, and uses the improved classification mining algorithm to excavate it, The classification rules and patterns of virtual machine resource scheduling are obtained, and then the virtual machine resource scheduling is implemented. Simulation of the model and algorithm, the experimental results show that the CDVRS algorithm is compared with GA (genetic algorithm), PSO (particle swarm Optimization) algorithm can improve the efficiency of resource scheduling of virtual machine in cloud computing effectively.

Research on virtual machine resource scheduling strategy based on Cdvrs