Optimizing Placement and Scheduling for VNF by a Multi-objective Optimization Genetic Algorithm

Optimizing Placement and Scheduling for VNF by a Multi-objective Optimization Genetic Algorithm

Abstract Virtual network functions (VNFs) have gradually replaced the implementation of traditional network functions. Through efficient placement, the VNF placement technology strives to operate VNFs consistently to the greatest extent possible within restricted resources. Thus, VNF mapping and sch...

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Bibliographic Details
Main Authors: Phan Duc Thien, Fan Wu, Mahmoud Bekhit, Ahmed Fathalla, Ahmad Salah
Format: Article
Language:English
Published: Springer 2024-03-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Heuristic algorithms
Mapping and scheduling
Multi-objective optimization
NSGA-III
Virtual network functions
VNFs
Online Access:https://doi.org/10.1007/s44196-024-00430-x

Internet

https://doi.org/10.1007/s44196-024-00430-x

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