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In order to solve the problem of resources waste in the process of virtual machine deployment in the cloud platform, we propose an ant colony algorithm based on multi-objective optimization. Firstly, the multi-objective optimization combination model is established. Then, we apply the model to ant colony algorithm. Finally, we modify the ant colony algorithm to adapt to cloud platform virtual machine initialization. In order to verify the effectiveness of the algorithm, cloudsim cloud simulation platform was used to carry out simulation experiments. The experimental results showed that the algorithm proposed in this paper could reach a relatively good level in SLA violation rate, power consumption, and resource loss of cloud platform compared with other commonly used algorithms.

Research of Ant Colony Algorithm Based on Multi-objective Optimization in Cloud Platform Virtual Machine Initialization