The content discusses the development of next-generation networks, emphasizing stringent performance requirements and the integration of artificial intelligence. It introduces a robust traffic grooming model for OTN-over-DWDM networks to ensure fault tolerance and reliability. The paper highlights the importance of resilience in critical services, addresses demand uncertainty through robust optimization, and provides experimental results comparing deterministic and robust solutions.
The work focuses on optimizing infrastructure placement, traffic grooming, and network resilience schemes. It explores various optimization methods used in networking technologies. The paper delves into the impact of faults on network operations and analyzes post-fault loading scenarios. Additionally, it discusses how the proposed robust solution protects against demand uncertainty.
Key points include the need for advanced intelligence in NFV management, considerations for 6G networks, and the role of optical transport networks in future generations. The study presents detailed experiments conducted on different network topologies to validate the proposed model's effectiveness.
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by Dimitrios Mi... في arxiv.org 03-05-2024
https://arxiv.org/pdf/2403.02254.pdfاستفسارات أعمق