Resources Optimization for a Resilient Time-Shared Optical Network

Karcuis Assis; Romerson D Oliveira; Ekin Arabul; Rui Wang; Raul Almeida Jr.; Reza Nejabati; Dimitra Simeonidou

doi:10.23919/ONDM54585.2022.9782862

Resources Optimization for a Resilient Time-Shared Optical Network

Karcuis Assis^*, Romerson D Oliveira, Ekin Arabul, Rui Wang, Raul Almeida Jr., Reza Nejabati, Dimitra Simeonidou

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

1 Citation (Scopus)

112 Downloads (Pure)

Abstract

Current fronthaul and backhaul networks require innovative technologies to support the key 5G performance indicators such as high bandwidth and sub-millisecond latency. In order to find optimal paths in a multitenant network architecture, we have proposed and applied a mixed linear programming formulation (MILP) to a resilient time-shared optical network (TSON) with multi-level programmability. The goal is to provide an analytical formulation which considers two different objective functions over a physical network substrate taking into account multi-fiber routing and cost constraints. We have run the model for an operational TSON node in a simulated metro-network with six nodes, cross-conectors and different physical capabilities between them. The correlation between minimizing the maximum number of ports/fibers used for node and the total number of fibers for the bundles was tested and the strategy can optimize the network design according to the designer's resource availability or network requirements.

Original language	English
Title of host publication	2022 International Conference on Optical Network Design and Modeling, ONDM 2022
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Number of pages	3
ISBN (Electronic)	9783903176447
ISBN (Print)	9781665479806
DOIs	https://doi.org/10.23919/ONDM54585.2022.9782862
Publication status	Published - 30 May 2022
Event	2022 International Conference on Optical Network Design and Modeling (ONDM) - Warsaw, Poland Duration: 16 May 2022 → 19 May 2022

Publication series

Name	International Conference on Optical Network Design and Modeling (ONDM)
ISSN (Print)	2995-0678
ISSN (Electronic)	2995-0686

Conference

Conference	2022 International Conference on Optical Network Design and Modeling (ONDM)
Country/Territory	Poland
City	Warsaw
Period	16/05/22 → 19/05/22

Bibliographical note

Funding Information:
*This study was financed in part by CAPES - Finance Code 001 and CNPq. This work also was funded by EU funded projects 5G-COMPLETE (871900) and UNIQORN (820474), EPSRC (grant ref. EP/T001011/1), also The Alan Turing Institute - UK.

Publisher Copyright:
© 2022 IFIP TC6 WG6.10.

Keywords

Time-Shared Optical Networks (TSON)
optimization
resilient networks

Access to Document

10.23919/ONDM54585.2022.9782862Licence: Unspecified

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1 Citations
3 Conference Contribution (Conference Proceeding)
1 Article (Academic Journal)

Demonstration of a Resilient and Quantum-Secured Time-Shared Optical Network with Multi-Level Programmability
Oliveira, R. D., Arabul, E., Wang, R., Kanellos, G., Nejabati, R. & Simeonidou, D., 13 Apr 2022, 2022 Optical Fiber Communications Conference and Exhibition (OFC). IEEE/OSA Journal of Optical Communications and Networking, 3 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

Open Access
File
202 Downloads (Pure)
100 Gb/s dynamically programmable SDN-enabled hardware encryptor for optical networks
Arabul, E., Stange Tessinari, R., Alia, O., Oliveira, R. D., Kanellos, G., Nejabati, R. & Simeonidou, D., 3 Nov 2021, (E-pub ahead of print) In: Journal of Optical Communications and Networking. 14, 1, p. A50-A60
Research output: Contribution to journal › Article (Academic Journal) › peer-review

Open Access
File
15 Citations (Scopus)

201 Downloads (Pure)
Demonstration of a Dynamic QKD Network Control Using a QKD-Aware SDN Application Over a Programmable Hardware Encryptor
Stange Tessinari, R., Arabul, E., Alia, O., Muqaddas, A. S., Kanellos, G., Nejabati, R. & Simeonidou, D., 9 Jun 2021, 2021 Optical Fiber Communications Conference and Exhibition (OFC). Institute of Electrical and Electronics Engineers (IEEE)
Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

Open Access
File

Cite this

Assis, K., Oliveira, R. D., Arabul, E., Wang, R., Almeida Jr., R., Nejabati, R., & Simeonidou, D. (2022). Resources Optimization for a Resilient Time-Shared Optical Network. In 2022 International Conference on Optical Network Design and Modeling, ONDM 2022 (International Conference on Optical Network Design and Modeling (ONDM) ). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.23919/ONDM54585.2022.9782862

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abstract = "Current fronthaul and backhaul networks require innovative technologies to support the key 5G performance indicators such as high bandwidth and sub-millisecond latency. In order to find optimal paths in a multitenant network architecture, we have proposed and applied a mixed linear programming formulation (MILP) to a resilient time-shared optical network (TSON) with multi-level programmability. The goal is to provide an analytical formulation which considers two different objective functions over a physical network substrate taking into account multi-fiber routing and cost constraints. We have run the model for an operational TSON node in a simulated metro-network with six nodes, cross-conectors and different physical capabilities between them. The correlation between minimizing the maximum number of ports/fibers used for node and the total number of fibers for the bundles was tested and the strategy can optimize the network design according to the designer's resource availability or network requirements.",

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note = "Funding Information: *This study was financed in part by CAPES - Finance Code 001 and CNPq. This work also was funded by EU funded projects 5G-COMPLETE (871900) and UNIQORN (820474), EPSRC (grant ref. EP/T001011/1), also The Alan Turing Institute - UK. Publisher Copyright: {\textcopyright} 2022 IFIP TC6 WG6.10.; 2022 International Conference on Optical Network Design and Modeling (ONDM) ; Conference date: 16-05-2022 Through 19-05-2022",

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Assis, K, Oliveira, RD, Arabul, E, Wang, R, Almeida Jr., R, Nejabati, R & Simeonidou, D 2022, Resources Optimization for a Resilient Time-Shared Optical Network. in 2022 International Conference on Optical Network Design and Modeling, ONDM 2022. International Conference on Optical Network Design and Modeling (ONDM) , Institute of Electrical and Electronics Engineers (IEEE), 2022 International Conference on Optical Network Design and Modeling (ONDM), Warsaw, Poland, 16/05/22. https://doi.org/10.23919/ONDM54585.2022.9782862

Resources Optimization for a Resilient Time-Shared Optical Network. / Assis, Karcuis; Oliveira, Romerson D; Arabul, Ekin et al.
2022 International Conference on Optical Network Design and Modeling, ONDM 2022. Institute of Electrical and Electronics Engineers (IEEE), 2022. (International Conference on Optical Network Design and Modeling (ONDM) ).

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

TY - GEN

T1 - Resources Optimization for a Resilient Time-Shared Optical Network

AU - Assis, Karcuis

AU - Oliveira, Romerson D

AU - Arabul, Ekin

AU - Wang, Rui

AU - Almeida Jr., Raul

AU - Nejabati, Reza

AU - Simeonidou, Dimitra

N1 - Funding Information: *This study was financed in part by CAPES - Finance Code 001 and CNPq. This work also was funded by EU funded projects 5G-COMPLETE (871900) and UNIQORN (820474), EPSRC (grant ref. EP/T001011/1), also The Alan Turing Institute - UK. Publisher Copyright: © 2022 IFIP TC6 WG6.10.

PY - 2022/5/30

Y1 - 2022/5/30

N2 - Current fronthaul and backhaul networks require innovative technologies to support the key 5G performance indicators such as high bandwidth and sub-millisecond latency. In order to find optimal paths in a multitenant network architecture, we have proposed and applied a mixed linear programming formulation (MILP) to a resilient time-shared optical network (TSON) with multi-level programmability. The goal is to provide an analytical formulation which considers two different objective functions over a physical network substrate taking into account multi-fiber routing and cost constraints. We have run the model for an operational TSON node in a simulated metro-network with six nodes, cross-conectors and different physical capabilities between them. The correlation between minimizing the maximum number of ports/fibers used for node and the total number of fibers for the bundles was tested and the strategy can optimize the network design according to the designer's resource availability or network requirements.

AB - Current fronthaul and backhaul networks require innovative technologies to support the key 5G performance indicators such as high bandwidth and sub-millisecond latency. In order to find optimal paths in a multitenant network architecture, we have proposed and applied a mixed linear programming formulation (MILP) to a resilient time-shared optical network (TSON) with multi-level programmability. The goal is to provide an analytical formulation which considers two different objective functions over a physical network substrate taking into account multi-fiber routing and cost constraints. We have run the model for an operational TSON node in a simulated metro-network with six nodes, cross-conectors and different physical capabilities between them. The correlation between minimizing the maximum number of ports/fibers used for node and the total number of fibers for the bundles was tested and the strategy can optimize the network design according to the designer's resource availability or network requirements.

KW - Time-Shared Optical Networks (TSON)

KW - optimization

KW - resilient networks

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DO - 10.23919/ONDM54585.2022.9782862

M3 - Conference Contribution (Conference Proceeding)

SN - 9781665479806

T3 - International Conference on Optical Network Design and Modeling (ONDM)

BT - 2022 International Conference on Optical Network Design and Modeling, ONDM 2022

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 2022 International Conference on Optical Network Design and Modeling (ONDM)

Y2 - 16 May 2022 through 19 May 2022

ER -

Assis K, Oliveira RD, Arabul E, Wang R, Almeida Jr. R, Nejabati R et al. Resources Optimization for a Resilient Time-Shared Optical Network. In 2022 International Conference on Optical Network Design and Modeling, ONDM 2022. Institute of Electrical and Electronics Engineers (IEEE). 2022. (International Conference on Optical Network Design and Modeling (ONDM) ). doi: 10.23919/ONDM54585.2022.9782862

Resources Optimization for a Resilient Time-Shared Optical Network

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Handle.net

Fingerprint

Research output

Demonstration of a Resilient and Quantum-Secured Time-Shared Optical Network with Multi-Level Programmability

100 Gb/s dynamically programmable SDN-enabled hardware encryptor for optical networks

Demonstration of a Dynamic QKD Network Control Using a QKD-Aware SDN Application Over a Programmable Hardware Encryptor

Cite this