Resource placement of IaaS service model is essential to the cloud infrastructure resource placement. This paper studies the virtual machine placement problem in the resource placement of the IaaS layer

presents quality of service model of the SLA in IaaS cloud resource placement

and then propose a muti-dimensional differential evolutionary algorithm base on QoS. The Algorithm combined with the non-dominate sorting and the differential evolution algorithm

and optimized speed sorting and filtering on progeny in the non-dominate

achieve taking into account the many types of resource constraints and other objective constraints when the resource placement of IaaS. Obtain more reasonable multiple types of resource placement result accordingly. Finally

the simulation results show that

to compared with other traditional heuristic algorithms

the proposed muti-dimensional resource VM placement algorithm is more faster in search

meanwhile the final result of the search get the minimum default rate

it has better performance on QoS metric

thus verifying the validity of algorithm.