# An Adaptive Control Scheme for Data-Driven Traffic Migration Engineering on 5G Network
## 2 Related Work  
The construction and reconfiguration technology of the 5G network slices based on TE can complete the allocation of virtual resources more effectively. Many research results [9; 10; 11; 12; 13; 14; 15] show that it has very good performance in establishing and solving the constructed mathematical programming model of resource allocation in a 5G network. [PERSON] et al. [11] propose an efficient multiresource allocation scheme based on virtual networks. The proposed scheme establishes a multiresource allocation mathematical model first, and then an average operator is weighted in order to optimize the framework of the model. Finally, by taking different resources into consideration comprehensively, the equitable allocation method is proposed to solve the problem of equitable sharing of multiple resources between slices, such as link bandwidth, spectrums and computing resource. [PERSON] et al. [12] propose a mathematical model of incentive allocation strategy for the mobile NFV network mapped from the physical layer. This model takes the associated service demands of users and the maximum revenue of NFV as the goals, and realizes the effective allocation of the network resources by constructing the optimal contract of the physical link. An optimization method of resource allocation is presented for a distributed 5G network in [10]. The established convex optimization model for resource allocation authorizes the efficient and dynamic management of the 5G network services. [PERSON] et al. [13] build a slicing optimization mathematical model for cross-domain 5G networks. This model allows the mobile network operators to allocate the basic physical resources efficiently according to the user requirements. The heuristic greedy algorithm is used to optimize the slice deployment time and execution time with low End-to-End (E2E) latency and high link bandwidth, and it improves the efficiency of wireless communication base stations in the physical layer, which are mapped to the NFV layer. [PERSON] et al. [14] propose a mathematical model based on OPEX allocation of network slicing, which can be used to price different E2E services. By combining resource allocation algorithms and multidimensional 5G VNF, the authors in [14] also further propose a model to study the cost-saving strategy of NFV for the core network. On account of the servicing quality requirements such as energy and delay in cloud RAN, [PERSON] et al. [15] solve the problem of how to provide the optimal resource allocation schemes for network slices. The proposed scheme can meet the actual demands for E2E latency and energy awareness by employing the effective and configurable heuristic algorithm. Simultaneously, the intelligence and security of the NFV network slicing are also the main KPIs to measure the 5G network. Based on the characteristics of big data, [PERSON] et al. [16] propose an intelligent RAN slicing broadband access architecture framework, which promotes cross-industry infrastructure cooperation. [PERSON] et al. [17] execute the reliable segmentation on bandwidth compression and multichannel transmission in 5G network, which ensures not only the optimal allocation of bandwidth, computing and other resources, but also the safety performance of resource allocation. [PERSON] et al. [18] scale migrations and replications of VNF based on network TE. Based on the constructed traffic prediction model, they use a mixed-integer linear programming model, as well as a greedy algorithm, to solve the traffic optimization problem that considers both migrations and replications of VNFs. On the other hand, due to the losses or changes in the service requirements of virtual links, the network slices need to be reconfigured dynamically after the constructed network slices run for a period of time. [PERSON] et al.