Service Level Agreement in Optical Networks

Du-Pond, Michel; Audouin, O.; Berde, Bela; Daheb, Belkacem; Fawaz, Wissam; Pujolle, Guy; Vigoureux, Martin

doi:10.1007/978-0-387-35703-4_17

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Cited by 2 publications

References 6 publications

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Design and Simulation of Invalid Services Restoration Scheme Based on Services Weight in Optical Cable Network

Yang,

Ran,

Lin

et al. 2024

2024 6th International Conference on Electronics and Communication, Network and Computer Technology (ECNCT)

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Design and Simulation of Invalid Services Restoration Scheme Based on Services Weight in Optical Cable Network

Yang,

Ran,

Lin

et al. 2024

2024 6th International Conference on Electronics and Communication, Network and Computer Technology (ECNCT)

View full text Add to dashboard Cite

Machine learning-assisted nonlinear-impairment-aware proactive defragmentation forC+Lband elastic optical networks

Jana

Chatterjee

Singh

et al. 2021

J. Opt. Commun. Netw.

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Efficient resource allocation and management can enhance the capacity of an optical backbone network. In this context, spectrum retuning via hitless defragmentation has been presented for elastic optical networks to enhance efficient spectrum accommodation while reducing the unused fragmented spaces in the spectrum. However, the quality of service committed in a service level agreement may be affected due to spectrum retuning. In particular, for transmission beyond the conventional C band, the presence of inter-channel stimulated Raman scattering can severely degrade the quality of the signal during defragmentation. To conquer this problem, this paper proposes, for the first time to our knowledge, a signal-quality-aware proactive defragmentation scheme for the C + L band system. The proposed scheme prioritizes the minimization of the fragmentation index and quality of transmission (QoT) maintenance for two different defragmentation algorithms, namely, nonlinear-impairment (NLI)-aware defragmentation (NAD) and NLI-unaware defragmentation (NUD). We leverage machine learning techniques for QoT estimation of ongoing lightpaths during spectrum retuning. The optical signal-to-noise ratio of a lightpath is predicted for each choice of spectrum retuning, which helps to monitor the effect of defragmentation on the quality of ongoing lightpaths (in terms of assigned modulation format). Numerical results show that, compared to a baseline algorithm (NUD), the proposed NAD algorithm provides up to 15% capacity increment for smaller networks such as BT-UK, while for larger networks such as the 24-node USA network, a capacity benefit of 23% is achieved in terms of the number of served demands at 1% blocking.

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Service Level Agreement in Optical Networks

Cited by 2 publications

References 6 publications

Design and Simulation of Invalid Services Restoration Scheme Based on Services Weight in Optical Cable Network

Design and Simulation of Invalid Services Restoration Scheme Based on Services Weight in Optical Cable Network

Machine learning-assisted nonlinear-impairment-aware proactive defragmentation forC+Lband elastic optical networks

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