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

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...

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Bibliographic Details
Published inApplied sciences Vol. 12; no. 14; p. 6942
Main Authors Thiruvenkadam, Srinivasan, Sujitha, Venkatapathy, Jo, Han-Gue, Ra, In-Ho
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.07.2022
Subjects
5G mobile communication
5G network
Acceptance
Algorithms
Artificial intelligence
Bandwidths
Decision making
heuristic fuzzy
Infrastructure
Mapping
Multiple criterion
Nodes
Problem solving
Quality of service
resource allocation
Security management
shortest path
Shortest-path problems
virtual network embedding
Virtual networks
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Summary: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, costrevenue 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.
ISSN:2076-3417
2076-3417
DOI:10.3390/app12146942