Computer Science ›› 2015, Vol. 42 ›› Issue (Z6): 337-340.

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Analytical Model for Qemu-based Live Migration Strategy

WANG Sen, ZHU Chang-peng and HAN Bo   

  • Online:2018-11-14 Published:2018-11-14

Abstract: Live migration is a powerful management tool in data center and has been widespreadly applied for virtual machine load balancing,fault tolerance,power management and other applications.Whether evaluation for performance of live migration of virtual machines is precise or not has directly influence on effects of live migration decisions.Therefore,we proposed an analytical model for qemu-based live migration of virtual machines.Based the model,we extracted key parameters that affect the performance of live migration,and analyzed mathematic relations between these parameters and performance of live migration.Finally,we built some experiments to evaluate and verify the correctness and precision of the analytical model by comparing experiential and analysis results.Our experiential results show that the model yields higher than 95% prediction accuracy in migration time and total transferred data.

Key words: Virtual machine,Live migration,Performance model

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