A Heuristic Fuzzy Based 5G Network Orchestration Framework for Dynamic Virtual Network Embedding

Abstract

Network slicing has become an unavoidable requirement for allocating 5G mobile network resources when sharing resources among devices that have varying needs. As a result, the virtual network slices get resources from the shared physical infrastructure that matches their needs. In order to maximize the use of shared resources, it is critical to provide an efficient virtual network embedding strategy for mapping each user’s requests to a physical infrastructure. Virtual network embedding primarily deals with the two most important network parameters—node mapping and link mapping. This paper proposes the heuristic fuzzy algorithm for node mapping and Dijikstra’s algorithm for link mapping. The proposed fuzzy based multi-criteria decision making technique uses membership functions for node parameters to prepare node mapping. By determining the shortest path, Dijikstra’s algorithm is used to provide link mapping. The proposed strategy is tested under dynamic physical infrastructure conditions for validation. The average acceptance ratio, cost-revenue ratio, and average utilization of node capacity and link bandwidth are used to evaluate the performance of the proposed strategy. In addition, the obtained results are compared to the literature to show that the proposed strategy is effective.

An E2E Network Slicing Framework for Slice Creation and Deployment Using Machine Learning

“…For evaluation, 5 to 40 VNR are taken into account, and each VNR has 20 nodes, so a total of 100 to 800 nodes are taken into consideration. Every node in the network has its own unique set of topological properties [30,37], which may include CPU power, bandwidth, link capacity, delay, and level of security. The KPIs of the SN and VNR are represented in Table 2.…”