3R Regeneration in Elastic Optical Networks and its Impact on the Network Quality of Service

Bórquez‐Paredes, Danilo; Calderón, Felipe; Jara, Nicolás; Leiva, Ariel; Lozada, Astrid; Olivares, Ricardo; Saavedra, Gabriel

doi:10.1109/icton51198.2020.9203248

Cited by 3 publications

(2 citation statements)

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“…• 3R regenerators/HFA placement or assignment techniques for improving network performance or minimizing network cost [18], [19], [20], [21], [22], [23], • impact evaluation of different amplification schemes or 3R regeneration on the network performance, assuming a given placement technique [9], [24], [25], [26], [27].…”

Section: Introductionmentioning

confidence: 99%

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Impact of Amplification and Regeneration Schemes on the Blocking Performance and Energy Consumption of Wide-Area Elastic Optical Networks

et al. 2021

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This paper studies the physical layer's impact on the blocking probability and energy consumption of wide-area dynamic elastic optical networks (EONs). For this purpose, we consider five network configurations, each named with a network configuration identifier (NCI) from 1 to 5, for which the Routing, Modulation Level, and Spectrum Assignment (RMLSA) problem is solved. NCI 1-4 are transparent configurations based on all-EDFA, hybrid Raman/EDFA amplifiers (with different Raman gain ratio Γ R ), all-DFRA, and alternating span configuration (EDFA and DFRA). NCI 5 is a translucent configuration based on all-EDFA and 3R regenerators. We model the physical layer for every network configuration to determine the maximum achievable reach of optical signals. Employing simulation, we calculate the blocking probability and the energy consumption of the different network configurations. In terms of blocking, our results show that NCI 2 and 3 offer the lowest blocking probability, with at least 1 and 3 orders of magnitude of difference concerning NCI 1 and 5 at high and low traffic loads, respectively. In terms of energy consumption, the best performing alternatives are the ones with the worst blocking (NCI 1), while NCI 3 exhibits the highest energy consumption with NCI 2 Γ R = 0.75 following closely. This situation highlights a clear trade-off between blocking performance and energy cost that must be considered when designing a dynamic EON. Thus, we identify NCI 2 using Γ R = 0.25 as a promising alternative to reduce the blocking probability significantly in wide-area dynamic EONs without a prohibitive increase in energy consumption.INDEX TERMS Elastic optical networks, resource assignment, translucent configuration, transparent configuration.

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Section: Introductionmentioning

confidence: 99%

“…In dynamic EON scenarios, it has been shown that the blocking probability can be decreased using 3R regenerators [9], [26]. However, the addition of regeneration devices exhibits diminishing returns in terms of blocking gain [27].…”

Section: Introductionmentioning

confidence: 99%

Impact of Amplification and Regeneration Schemes on the Blocking Performance and Energy Consumption of Wide-Area Elastic Optical Networks

et al. 2021

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Multi-path routing spectrum allocation algorithm based on fragment sensing and energy saving

Liu

Wang

Zhan

et al. 2021

2021 5th International Conference on High Performance Compilation, Computing and Communications

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Time-Efficient RSA over Large-Scale Multi-Domain EON

Xi,

Li,

Wang

2024

Sensors

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The poor timeliness of routing has always been an urgent problem in practical operator networks, especially in situations with large-scale networks and multiple network domains. In this article, a pruning idea of routing integrated with Dijkstra’s shortest path searching is utilized to accelerate the process of routing in large-scale multi-domain elastic optical networks (EONs). The layered-graph approach is adopted in the spectrum allocation stage. To this end, an efficient heuristic algorithm is proposed, called “Branch-and-Bound based Routing and Layered Graph based Spectrum Allocation algorithm (BBR-LGSA)”, which is an integrated RSA algorithm. Notably, the significant reduction in algorithm time complexity is not only reflected in the pruning method used in the routing stage but also in the construction of auxiliary graphs during the spectrum allocation stage utilizing the Branch-and-Bound method. Simulation results show that the proposed BBR-LGSA significantly reduces the average running time by nearly 78% with higher spectrum utilization in large-scale multi-domain EONs, compared with benchmark algorithms. In addition, the impact of key parameters on performance comparisons of different algorithms is evaluated.

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3R Regeneration in Elastic Optical Networks and its Impact on the Network Quality of Service

Cited by 3 publications

References 13 publications

Impact of Amplification and Regeneration Schemes on the Blocking Performance and Energy Consumption of Wide-Area Elastic Optical Networks

Impact of Amplification and Regeneration Schemes on the Blocking Performance and Energy Consumption of Wide-Area Elastic Optical Networks

Multi-path routing spectrum allocation algorithm based on fragment sensing and energy saving

Time-Efficient RSA over Large-Scale Multi-Domain EON

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