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Service function chain mapping method based on delay guarantee

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Pubblicato in:Cluster Computing vol. 28, no. 5 (Oct 2025), p. 322
Pubblicazione:
Springer Nature B.V.
Soggetti:
Network function virtualization
Computer centers
Software
Control algorithms
Network topologies
Genetic algorithms
Optimization
Network latency
Mapping
Search algorithms
Linear programming
Operating costs
Resource utilization
Cloud computing
Heuristic
Accesso online:Citation/Abstract
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Abstract:Network function virtualization achieves the softwareization of network functions through virtualization technology, reducing operational costs but introducing challenges in network orchestration complexity. To deploy service function chains efficiently and cost-effectively in a network function virtualization environment, a latency-guaranteed, optimized mapping method is proposed. Firstly, a model that minimizes the total network deployment cost for service function chains is established, comprehensively considering user latency requirements and network resource constraints. Secondly, a service function chain mapping method based on an improved sparrow search algorithm is introduced. Finally, the simulation results show that the bandwidth resource utilization of the ISSA-SFCM algorithm is improved by 3.8% and 8.5%, respectively, compared to the control DP-COA algorithm and First-Fit algorithm, with a higher service function chain request acceptance rate and lower average network cost.
ISSN:1386-7857
1573-7543
DOI:10.1007/s10586-024-04967-6
Fonte:Advanced Technologies & Aerospace Database