Routing Algorithms Simulation for Self-Aware SDN
Main Authors: | Nowak, Mateusz, Pecka, Piotr |
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Format: | Article Journal |
Bahasa: | eng |
Terbitan: |
, 2021
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Subjects: | |
Online Access: |
https://zenodo.org/record/6469481 |
Daftar Isi:
- This paper presents a self-aware network approach with cognitive packets, with a routing engine based on random neural networks. The simulation study, performed using a custom simulator extension of OmNeT++, compares RNN routing with other routing methods. The performance results of RNN-based routing, combined with the distributed nature of its operation inaccessible to other presented methods, demonstrate the advantages of introducing neural networks as a decision-making mechanism in selecting network paths. This work also confirms the usefulness of the simulator for SDN networks with cognitive packets and various routing algorithms, including RNN-based routing engines.