Demonstration of SDN-Enabled Hybrid Polling Algorithm for Packet Contention Resolution in Optical Data Center Network

Wang, Fu; Liu, Bo; Xue, Xuwei; Zhang, Lijia; Yan, Fulong; Magalhães, Eduardo; Zhang, Qi; Xin, Xiangjun; Calabretta, Nicola

doi:10.1109/jlt.2020.2976549

Cited by 8 publications

(4 citation statements)

References 17 publications

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“…The nonuniform iterative polar quantization considers implementing MMSE in two dimensions, including scalar nonuniform amplitude (r) and scaler uniform phase quantization (ϕ). The calculation formula of MSE in polar quantization consists of two parts, and could be computed as Equation (1).…”

Section: Principle Of the Proposed Scheme 21 Geometric Shaping Based On Iterative Polar Modulationmentioning

confidence: 99%

“…MSE = D granul + D overload (1) where D granul represents the granulation noise and D overload represents the overload noise.…”

Section: Principle Of the Proposed Scheme 21 Geometric Shaping Based On Iterative Polar Modulationmentioning

confidence: 99%

“…With the massive growth of cloud computing, 5G/6G, web-based applications, and other new types of services in recent years, the Internet traffic has been steadily expanding, which promotes optical interconnection networks (OINs) developing towards 400 G/800 G [1,2]. In this trend, an optical transmission system with high spectral efficiency is required to accommodate a higher transmission rate.…”

Section: Introductionmentioning

confidence: 99%

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K-means Cluster Algorithm Applied for Geometric Shaping Based on Iterative Polar Modulation in Inter-Data Centers Optical Interconnection

et al. 2021

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The demand of delivering various services is driving inter-data centers optical interconnection towards 400 G/800 G, which calls for increasing capacity and spectrum efficiency. The aim of this study is to effectively increase capacity while also improving nonlinear noise anti-interference. Hence, this paper presents a state-of-the-art scheme that applies the K-means cluster algorithm in geometric shaping based on iterative polar modulation (IPM). A coherent optical communication simulation system was established to demonstrate the performance of our proposal. The investigation reveals that the gap between IPM and Shannon limit has significantly narrowed in terms of mutual information. Moreover, when compared with IPM and QAM using the blind phase searching under the same order at HD-FEC threshold, the IPM-16 using the K-means algorithm achieves 0.9 dB and 1.7 dB gain; the IPM-64 achieves 0.3 dB and 1.1 dB gain, and the IPM-256 achieves 0.4 dB and 0.8 dB gain. The robustness of nonlinear noise and high capacity enable this state-of-the-art scheme to be used as an optional modulation format not only for inter-data centers optical interconnection but also for any high speed, long distance optical fiber communication system.

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Section: Principle Of the Proposed Scheme 21 Geometric Shaping Based On Iterative Polar Modulationmentioning

confidence: 99%

“…MSE = D granul + D overload (1) where D granul represents the granulation noise and D overload represents the overload noise.…”

Section: Principle Of the Proposed Scheme 21 Geometric Shaping Based On Iterative Polar Modulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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K-means Cluster Algorithm Applied for Geometric Shaping Based on Iterative Polar Modulation in Inter-Data Centers Optical Interconnection

et al. 2021

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“…This would result in high packet loss when packet contention happens at the optical switch nodes. Thus, packet contention resolution is another unsolved challenge to practical deploy the optical switches in DCNs [8]. Third, in optically switched network, new optical connections are generated every time as the switch reconfiguring.…”

Section: Introductionmentioning

confidence: 99%

Optical Switching Data Center Networks: Understanding Techniques and Challenges

Zhao,

Xue,

Ren

et al. 2023

Comput. Networks Commun.

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Relying on the flexible-access interconnects to the scalable storage and compute resources, data centers deliver critical communications connectivity among numerous servers to support the housed applications and services. To provide the high-speeds and long-distance communications, the data centers have turned to fiber interconnections. With the stringently increased traffic volume, the data centers are then expected to further deploy the optical switches into the systems infrastructure to implement the full optical switching. This paper first summarizes the topologies and traffic characteristics in data centers and analyzes the reasons and importance of moving to optical switching. Recent techniques related to the optical switching, and main challenges limiting the practical deployments of optical switches in data centers are also summarized and reported.

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Software for Optical Network Modelling

Adhikari

2022

Optical Switching

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Demonstration of SDN-Enabled Hybrid Polling Algorithm for Packet Contention Resolution in Optical Data Center Network

Cited by 8 publications

References 17 publications

K-means Cluster Algorithm Applied for Geometric Shaping Based on Iterative Polar Modulation in Inter-Data Centers Optical Interconnection

K-means Cluster Algorithm Applied for Geometric Shaping Based on Iterative Polar Modulation in Inter-Data Centers Optical Interconnection

Optical Switching Data Center Networks: Understanding Techniques and Challenges

Software for Optical Network Modelling

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