Optimization Of Key Physical Node Capacity For Deployment Of Elastic Network Slices

In the 5G era,mobile communication networks need to provide services for a variety of application scenarios such as autonomous driving,smart medical care,and energy Internet.Different application scenarios have different requirements in terms of mobility,delay,billing,and reliability.Network slicing can use a common infrastructure network to create different end-to-end virtual networks.Each network slice can configure and reuse network elements and functions to support flexible application scenarios in the 5G era.Because multiple slices can share the same infrastructure network,when a large number of requests for network slicing arrive,due to the limited resource capacity of each physical node in the underlying infrastructure network,the number of slices that can be carried will be limited.This article focuses on the optimization of physical node capacity for deployment of elastic network slices based on the complex network theory in the context of limited capacity of physical nodes in the infrastructure network,which limits the acceptance rate of slice requests.First of all,in the context of a single infrastructure network scenario,in order to solve the problem of limited resource capacity on physical nodes in a single infrastructure network,a resource capacity expansion strategy based on node priority ranking is proposed.In this resource capacity expansion strategy,the importance of nodes in the network topology is analyzed.In combination with the economic benefits of the nodes,the priority order of the nodes in the expansion of resource capacity is obtained,and the reinvestment cost is used to expand the resource capacity on the corresponding nodes in accordance with the priority order of the nodes.After experimental simulations and comparisons with other strategies,it is verified that the proposed resource capacity expansion strategy can specifically expand the resource capacity on the physical node with a small amount of reinvestment cost,and can significantly improve the profitability of infrastructure providers,slice request acceptance rate,and resource utilization.Secondly,in the 5G era,considering that it is difficult for a single infrastructure provider to face high infrastructure deployment costs and shortage of spectrum resources,this paper proposes a physical node resource sharing strategy based on multi-infrastructure network collaboration.The proposed strategy first completes the selection of physical nodes participating in interaction in a single infrastructure network,and secondly determines the specific interaction and cooperation modes among multiple infrastructure networks.When determining the specific interaction and cooperation mode among multiple infrastructure networks,the matching degree between different resource scarce-excess node pairs of different infrastructure networks for establishing connections was measured from various aspects.Experimental simulations and comparisons with other strategies verify that the proposed strategy can enable multiple infrastructure networks participating in interactive collaboration to obtain an increase in the acceptance rate of slice requests and resource utilization without reinvesting costs to expand resources.