Opening up ROADMs: Let Us Build a Disaggregated Open Optical Line System

Kundrát, Jan; Havliš, Ondřej; Jedlinsky, Jaroslav; Vojtěch, Josef

doi:10.1109/jlt.2019.2906620

Cited by 35 publications

(13 citation statements)

References 28 publications

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“…Regarding the utilization of ROADM whiteboxes in SDNbased optical networks, [30] describes the open design of a ROADM that is commercially available, and part of the TIP consortium. It also evaluates the performance of the ROADM in terms of switching time, power consumption, and degradation introduced on the traversing optical signal.…”

Section: Previous Workmentioning

confidence: 99%

Control of open and disaggregated transport networks using the Open Network Operating System (ONOS) [Invited]

Giorgetti¹,

Sgambelluri²,

Casellas³

et al. 2019

J. Opt. Commun. Netw.

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Use of disaggregated equipment in optical transport networks is emerging as an attractive solution to bring flexibility and break vendor lock-in dependencies. The disaggregation process requires standard protocols and interfaces between the control plane and network equipment. NETCONF has been selected as the standard protocol and multiple initiatives are currently working on the definition of standard models for each type of data plane devices. Different levels of disaggregation of the data plane are under evaluation, and it is still not clear up to which level it will be useful to disaggregate the data plane. The disaggregation of optical networks yielded the development of several SDN-based controllers providing an environment for creating and deploying networking application on optical networks. Among them, the ONOS controller features the most active community with the recent establishment of the ODTN working group, specifically focused on the introduction of required functionality to control and monitor disaggregated transport networks. This paper reports on the state-of-art, potentials and limitations of the ONOS controller applied to disaggregated optical networks with specific focus on the ongoing activities within the ODTN working group. Then, the paper describes a set of experiments performed on a setup including both emulated and real optical devices controlled with ONOS. The performed experiments consider both the establishment of a connectivity service and the recovery of the connectivity in case of failure on the data plane.

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Section: Previous Workmentioning

confidence: 99%

Control of open and disaggregated transport networks using the Open Network Operating System (ONOS) [Invited]

Giorgetti¹,

Sgambelluri²,

Casellas³

et al. 2019

J. Opt. Commun. Netw.

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“…In addition, Open Line Systems and alien wavelengths have been deployed to test resiliency with multi-vendor configurations within European NREN involving interoperability at the ONOS controller level [22]. Finally, open design of vendorneutral, modular and flexible ROADM line degrees and add/drop stages prototype with TIP OpenDevice YANG model have been detailed and demonstrated in [23] and in [24].…”

Section: Related Work On White Box Disaggregationmentioning

confidence: 99%

OpenConfig and OpenROADM Automation of Operational Modes in Disaggregated Optical Networks

et al. 2020

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OpenConfig and OpenROADM are emerging as the most relevant initiatives to support partial disaggregation, in which the optical line system is provided by a single vendor while transponders can be provided, in pairs, by different vendors. This way, vendor lock-in is eliminated at the transponder level, without significantly impacting the transmission performance. Although the above initiatives have defined YANG models reaching a good level of maturity, there are still open issues that prevent the full deployment of vendor-neutral partially disaggregated solutions. Among these, the candidate transmission modes in a transponder, including proprietary solutions, are exposed in the YANG models as opaque attributes called Operational (OP) Modes, thus limiting the awareness and the effectiveness of the SDN controller in the selection of the most appropriate transmission mode. In this work, we focus on the open issues related to the configuration and adaptation of transmission parameters. In particular, we focus on the OpenConfig concept of OP Mode enabling the abstraction of transmission complexity but currently preventing an SDN controller to manage transponders in a fully vendor-neutral way. This work first estimates, through a simulative study, the network performance benefit that is achievable by optimizing the OP mode selection. Then, a telemetry-based automated solution is proposed, designed and implemented to enhance the OP mode concept in case of both provisioning and adaptation scenarios (e.g., upon failure), also considering the impact in the tributary/client network. In particular, the following components have been designed and implemented: (i) software agent for OpenConfig transponders; (ii) software agent for OpenROADM line systems, (iii) an automatic telemetryassisted monitoring handler; and (iv) SDN control procedures implemented in the ONOS Controller. The proposed components and comprehensive solution have been evaluated in a network testbed encompassing multi-vendor network elements, successfully demonstrating a full vendor-neutral partially disaggregated provisioning and recovery operations.

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“…A S CAPACITY and traffic demands continue to increase [1], network operators have started to look towards innovative solutions that exploit existing infrastructures, in order to maximally increase transmission speeds and capacities [2], [3]. In particular, disaggregated and open infrastructures have been identified as solutions that afford networks with greater degrees of flexibility and allow multi-vendor approaches to be realized [4]- [6]. In these regimes, a software-defined networking (SDN) approach to optical network control and management may be implemented, with lightpaths (LP)s being assigned dynamically.…”

Section: Introductionmentioning

confidence: 99%

“…An overview of the various classifications of margins and their contributors is presented in [15]. In this work, we consider a partially disaggregated optical network with a SDN approach to control and management [16], [17]; the network is constructed from disaggregated re-configurable optical add-drop multiplexers (ROADM)s [4], [18], connected by independent optical line systems (OLSs) that include the degrees of the ROADM multiplexer/demultiplexer, fibers, and amplifiers (booster, in-line and pre-amp). These OLSs transport colored WDM optical tributary signals [19] from ROADM to ROADM upon transparent LPs, with each OLS independently orchestrated using the SDN controller [20].…”

Section: Introductionmentioning

confidence: 99%

Enhancing Lightpath QoT Computation With Machine Learning in Partially Disaggregated Optical Networks

D’Amico

Straullu

Borraccini

et al. 2021

IEEE Open J. Commun. Soc.

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Increasing traffic demands are causing network operators to adopt disaggregated and open networking solutions to better exploit optical transmission capacity, and consequently enable a softwaredefined networking (SDN) approach to control and management that encompasses the WDM data transport layer. In these frameworks, a quality of transmission estimator (QoT-E) that gives the generalized signalto-noise ratio (GSNR) is commonly used to compute the feasibility of transparent lightpaths (LP)s, taking into account the amplified spontaneous emission (ASE) noise and the nonlinear interference (NLI). In general, the ASE noise is the main contributor to the GSNR and is also the most challenging noise component to evaluate in a scenario with varying spectral loads, due to fluctuations in the optical amplifier responses. In this work, we propose a machine learning (ML) algorithm that is trained using different ASE-shaped spectral loads in order to predict the OSNR component of the GSNR; this methodology is subsequently used in combination with a QoT-E in the lightpath computation engine (L-PCE). We present an experiment on a point-to-point optical line system (OLS), including 9 commercial erbium-doped fiber amplifiers (EDFA)s used as black-boxes, each with variable gain and tilt values, and 8 fibers that are characterized by distinct physical parameters. Within this experiment, we receive the signal at the end of the OLS, measuring the bit-error-rate (BER) and the power spectrum, over 2520 different spectral loads. From this dataset, we extract the expected GSNRs and their linear and nonlinear components. Through joint application of a ML algorithm and the open-source GNPy library, we obtain a complete QoT-E, demonstrating that a reliable and accurate LP feasibility predictor may be implemented.INDEX TERMS Machine learning, optical communications, erbium doped fiber amplifier (EDFA), Raman scattering, quality of transmission (QoT).

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Opening up ROADMs: Let Us Build a Disaggregated Open Optical Line System

Cited by 35 publications

References 28 publications

Control of open and disaggregated transport networks using the Open Network Operating System (ONOS) [Invited]

Control of open and disaggregated transport networks using the Open Network Operating System (ONOS) [Invited]

OpenConfig and OpenROADM Automation of Operational Modes in Disaggregated Optical Networks

Enhancing Lightpath QoT Computation With Machine Learning in Partially Disaggregated Optical Networks

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