A Practical Model for Analyzing Push-Based Virtual Machine Live Migration

Virtual Technology has been employed by cloud computing to satisfy service requests from the customers. Virtual machine live migration provides non-stop services while an unexpected event impacts the service quality of the host. The cost of performing live migration is measured by the total number of transferred pages and the service suspension time. In this paper, a practical model for analysing push-based live migration is proposed. The model abstracts live migration strategy into trend and sanction functions. Based on the model, the patterns on the numbers of transferred memory frames in the iterations have been analysed for various dirty frequencies and push rules. Furthermore, it is useful for developing a formal method for conducting complex analysis.

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