| Multi-access edge computing(MEC)has the characteristics of low delay,high bandwidth,proximity,real-time perception,enhanced privacy and security and reliabilty,which meets the needs of new services such as deploying ultra-high density edge equipments under the background of 5G.On the one hand,because of MEC powerful computing power,a growing number of edge user equipments(UEs)offload computing-intensive tasks to MEC data center to perform cloud computing.On the other hand,due to hardware constraints of MEC data center,using network function virtualization(NFV)separates the software implementation of network functions from proprietary hardware to achieve faster network service supply.Virtual machine(VM)as a software with performing physical computer functions can host virtual network function(VNF)to complete the computation-intensive task of offloading to the MEC data center.Therefore,at the MEC data center,virtual resource allocation method or virtual machine placement method has become a major research focus of researchers.This paper studies the virtual resource placement method with UEs as the center at the MEC data center.On the MEC environment,this paper puts forward the virtual machine placement method based on two-sided matching,establishes the communication model and calculation model,and constructs the 0-1 integer programming problem.By defining the preference value calculation method,a many-to-many two-sided matching algorithm is designed to solve the problem of multiple VMs and multiple physical machines(PMs)matching.The results show that the algorithm can achieve a compromise between delay and energy consumption,enhance the quality of user service,improve resource utilization and reduce operating cost.On the basis of constructing the layout method of two-sided matching,this paper designs and develops the virtual resource allocation system based on the Microsoft Visual Studio 2017 system development platform.Through the design and implementation of the resource allocation system,the quality of service(Qo S)of UEs is guaranteed,the utilization ratio of physical resources is improved,the cost of operators is reduced,and the network virtual resource layout of MEC data center is provided with a new research direction. |