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Sparse Distributed Fiber Optic Sensor Placement in Metropolitan and Datacenter Elastic Optical Networks — arXiv:2610.03338

Source: arXiv
Original: https://arxiv.org/abs/2610.03338
License (as archived): CC0-1.0
Archived: 2026-10-05T23:12:14.036Z
SHA-256 of the archived text: 14f8846d3dc79c9c6cdd4ee463b07794d9185ff0ea74d35359eea5eb4c1333f0
Stable URL of this page: https://metraipolis.com/documento/dc_b668d3abe8da

How to cite

Sparse Distributed Fiber Optic Sensor Placement in Metropolitan and Datacenter Elastic Optical Networks — arXiv:2610.03338 — arXiv, https://arxiv.org/abs/2610.03338 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_b668d3abe8da (Metraipolis archive dc_b668d3abe8da, sha256 14f8846d3dc79c9c6cdd4ee463b07794d9185ff0ea74d35359eea5eb4c1333f0)

BibTeX

@misc{dcb668d3abe8da,
  title = {Sparse Distributed Fiber Optic Sensor Placement in Metropolitan and Datacenter Elastic Optical Networks — arXiv:2610.03338},
  howpublished = {arXiv},
  url = {https://arxiv.org/abs/2610.03338},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_b668d3abe8da; sha256 14f8846d3dc79c9c6cdd4ee463b07794d9185ff0ea74d35359eea5eb4c1333f0},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv, https://arxiv.org/abs/2610.03338. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Distributed Fiber Optical Sensing (DFOS) leverages optical backscattering signals to predict failure events and enable proactive Just-In-Time (JIT) restoration. Modern network infrastructures have optical components and fibers as key enablers of high throughput and low latency. The integration of sensing features in this optical infrastructure adds features such as network diagnosis, spatial positioning and sensing, and opens up opportunities for the implementation of intelligent network control expected for the next-generation networks. In this paper, we study how the quantity and the placement of the DFOS devices in an all-optical network can mitigate failure events. In our evaluation, we consider metropolitan and data center elastic optical networks. This work also evaluates sensing devices with various prediction time capabilities, in order to assess their effectiveness when considering a variable number of deployed devices and different placement heuristics. The evaluation uses key performance metrics, including the bandwidth blocking rate, number of affected circuits by failure events, and the service downtime. Simulation results demonstrate that the Greedy Shortest Path Coverage (GSPC) heuristic substantially reduces the number of circuits affected by failure when DFOS devices cover only 5% of links, while 25% coverage shows a performance gain comparable to the full coverage scenario, which is an opportunity for significant cost reduction. Finally, for the 5% sensing coverage scenarios, our results illustrate that prediction windows of 15 ms and 7.5 ms are sufficient for JIT restoration in metropolitan and data center networks, respectively.

Tema degli esploratori: calcolo e infrastrutture (elenco arXiv cs.NI, nuovi lavori del giorno).
Categorie arXiv: Networking and Internet Architecture (cs.NI).
Pagina del lavoro: https://arxiv.org/abs/2610.03338 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-05T23:02:08.529Z dalla pagina https://arxiv.org/list/cs.NI/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).