摘要：In some service areas, such as cloud computing of virtual technology, the specific virtual technology’s level configuration processing power is limited and it has defects. [1] Under normal circumstances, the traditional cloud computing resource sharing configuration can not be effectively applied, for it has a time difference and several machines can not be connected to the network by a broadband link and work simultaneously, making the virtual technology particularly difficult in the efficiency and effectiveness of the implementation. This paper presents a cloud computing of ant colony and genetic combination of resources virtual scheduling optimization, which is applied to multiple machines physical layer simultaneously, at the same time it can optimize the allocation of resources to maximization. Experimental results show that the model algorithm is more convergent and more practical than traditional methods.
