GRPC-based SDN control and telemetry for soft-failure detection of spectral/spacial superchannels

Vilalta, Ricard; Yoshikane, Noboru; Casellas, Ramon; Martínez-Ciro, Roger Alexander; Beppu, Shohei; Soma, Daiki; Sumita, Shuichi; Tsuritani, Takehiro; Morita, Itsuro; Muñoz, Raül

doi:10.1049/cp.2019.0874

Cited by 13 publications

(6 citation statements)

References 5 publications

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“…Today, transponders report the SNR/BER every 15 minutes [38]. The reporting time can be substantially reduced down to sec with NETCONF/YANG monitoring [12] or telemetry based protocols [40], [41]. However, such reporting periods target failure recovery use cases, which are substantially different from the power optimization use case studied in this paper.…”

Section: Resultsmentioning

confidence: 99%

Quality of transmission estimator retraining for dynamic optimization in optical networks

Mahajan

Christodoulopoulos

Martínez

et al. 2021

J. Opt. Commun. Netw.

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Optical network optimization involves an algorithm and a Physical Layer Model (PLM) to estimate the Quality of Transmission (QoT) of connections while examining candidate optimization operations. In particular, the algorithm typically calculates intermediate solutions until it reaches the optimum which is then configured to the network. If it uses a PLM that was aligned once to reflect the starting network configuration, then the algorithm within its intermediate calculations can project the network into states where the PLM suffers from low accuracy, resulting in a suboptimal optimization. In this paper, we propose to solve dynamic multivariable optimization problems with an iterative closed control loop process, where after certain algorithm steps we configure the intermediate solution so that we monitor and realign/retrain the PLM to follow the projected network states. The PLM is used as a Digital Twin (DT), a digital representation of the real system which is realigned during the dynamic optimization process. Specifically, we study the dynamic launch power optimization problem, where we have a set of established connections and we optimize their launch powers while the network operates. We observed substantial improvements in the sum and the lowest margin when optimizing the launch powers with the proposed approach over optimization using a one-time trained PLM. The proposed approach achieved near to optimum solutions as found by optimizing and continuously probing and monitoring the network, but with a substantial lower optimization time.

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Section: Resultsmentioning

confidence: 99%

Quality of transmission estimator retraining for dynamic optimization in optical networks

Mahajan

Christodoulopoulos

Martínez

et al. 2021

J. Opt. Commun. Netw.

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“…A commit phase, intrinsic to the NETCONF protocol, takes at least 1.5 s which causes a 2s-4s recovery time as result. This could be minimized by using other protocols [14] [18]. The maximum latency of the uplink (UL) and downlink (DL) during the experimental scenario are presented in Table 1.…”

Section: Resultsmentioning

confidence: 99%

SDN-based RAN Protection Solution for 5G, an Experimental Approach

Wang

Simon

Amigo

et al. 2021

2021 International Conference on Optical Network Design and Modeling (ONDM)

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In this paper, we propose a Software Defined Network-based (SDN) Passive Optical Network (PON) Radio Access Networks (RAN) protection scheme. We experimentally assess the performance by implementing it through a testbed including an SDN controller, Small form-factor pluggable transceiver PON (SFP+/PON), a layer 2 switch, and several SFP+ Point-to-Point (SFP+/PtP) in lieu of a traditional OLT chassis. We compared our proposition with a PtP scheme based on legacy layer 2 redundancy protocol solution with respect to different metrics such as recovery time, latency, power consumption, CAPEX and flexibility/scalability. We show that a trade-off exists among those metrics and that while the SDN-based solution is outperformed by the legacy-based one in terms of recovery time, the proposed solution still provides a remarkable improvement with respect to nowadays practices in protection, while allowing for cost and energy reduction. Such solution scheme can thus be used as a protection scheme for non-time-critical services.

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“…The authors in [34] provide the first experimental demonstration of gRPC-based SDN control and telemetry architecture. They apply gRPC to control and monitor spectral/spatial superchannels with SDM/WDM transceivers monitored the BER to detect soft-failures over an 11-km 6-mode 19-core fiber.…”

Section: C2 Grpcmentioning

confidence: 99%

Experimental evaluation of control and monitoring protocols for optical SDN networks and equipment [Invited Tutorial]

Vilalta

Manso

Yoshikane

et al. 2021

J. Opt. Commun. Netw.

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This paper presents an experimental evaluation of network protocols for control and management of optical networks and optical network equipment as seen in current trends. This paper presents the YANG data modelling language and its associated RESTCONF/NETCONF protocols. Later, it details multiple data models used in optical networks, such as IETF TEAS, ONF Transport API, OpenROADM and Open-Config. It also presents multiple protocols for telemetry (i.e., YANG PUSH,gRPC and gNMI). Later, a zero touch SDN controller architecture for multiple Standard Defining Organizations (SDO) is presented, in order to support the usage of multiple protocols in a zero touch optical network. Finally, the presented protocols implementations are experimentally evaluated and compared in terms of latency and overhead. The paper explores the usage of these protocols (e.g., in research, demonstrations and open-Source optical networking projects) and provides results and recommendations for their integration in novel equipment and networks.

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GRPC-based SDN control and telemetry for soft-failure detection of spectral/spacial superchannels

Cited by 13 publications

References 5 publications

Quality of transmission estimator retraining for dynamic optimization in optical networks

Quality of transmission estimator retraining for dynamic optimization in optical networks

SDN-based RAN Protection Solution for 5G, an Experimental Approach

Experimental evaluation of control and monitoring protocols for optical SDN networks and equipment [Invited Tutorial]

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