A 5G Network Slice Resource Orchestration and Mapping Method based on Power Service

In view of the lack of end-to-end global delay optimization methods for power services at present, this paper proposes a 5G network slice resource orchestration and mapping method based on power service characteristics. Firstly, the end-to-end network slice mapping model for power business is constructed from access network slice and core network slice. Secondly, considering the limited resource of node computing and link transmission, the end-to-end global delay minimization problem is proposed under the premise of ensuring the minimum transmission rate and reliability of slices. Finally, a resource scheduling and mapping algorithm based on graph theory depth-first search (GDFS) is designed. Prioritize from the three aspects of slicing, virtual network function and physical resources, filter and prune each candidate matching pair, and iteratively solve the problem. Simulation results show that the proposed resource orchestration and mapping method can guarantee the delay, rate and reliability requirements of power services, and greatly reduce the end-to-end global delay.