Publication Date
Spring 2025
Degree Type
Master's Project
Degree Name
Master of Science in Computer Science (MSCS)
Department
Computer Science
First Advisor
Genya Ishigaki
Second Advisor
Katerina Potika
Third Advisor
Navrati Saxena
Keywords
Multidomain networks, optical monitoring, failure localization, machine learning.
Abstract
Optical networks transport data encoded on light signals over optical fiber cables. Individual optical networks are managed by domain administrators, such as service providers, vendors, or regional bodies. Multidomain optical networking explores the possibility of enabling seamless data transmission across domain boundaries. In this project, we explore how we can perform network monitoring in a hierarchical multidomain optical network while preserving domain security and autonomy. This is done by allocating dedicated monitoring trails across various broker abstractions of our network topologies. We propose three heuristic functions that expedite trail selection. Of the three heuristics, our least monitored algorithm performs the best, achieving results within 4% of the theoretical optimum on average for small topologies. We also propose an LSTM model to detect soft link failures based on OSNR data simulated using GNPy. The model achieves an accuracy of 91% and an F1 score of 63%.
Recommended Citation
Bojinov, Martin Mihailov, "Link Failure Localization in Hierarchical, Multidomain Optical Networks" (2025). Master's Projects. 1544.
https://scholarworks.sjsu.edu/etd_projects/1544
