Cpqd's SDN activities in optical dwdm terabit networks

CPqD’s SDN Activities in Optical DWDM Terabit Networks

Juliano R. Fernandes de Oliveira, Ph.DOptical Networking Group Leader, CPqD

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Motivation

Triple-Play Services

Cloud Computing and Streaming Media APPs

Big Sports Events

Pope Jonh Paul II Death (2005)

Pope Francis Presentation (2013)

http://photoblog.nbcnews.com/_news/2013/03/14/17312316-witnessing-papal-history-changes-

with-digital-age

Brazil

8.2 x

Source: Cisco 2012

1,9EB

0,9EB

2010 2011 2012 2013 2014 2015InternetMobile

Manged IP

3

Outline (Innovation cycle at the CPqD)

5. NG-ROADM6. SDN controller

(development)

1. CPqD Industry2. CPqD’s strategy (optical comm.)

3. CPqD’s optical SDN testbed4. SDN controller (research)

1) NETCONF-modelling: YANG2) Automatic VON instantiation3) Control plane with PCE4) Cognitive EDFA5) Adaptable flexible transponder6) Global WSS equalization7) ADoD as NFV example

1. (CPqD Industry) high capacity Tx/Rx innovation

112Gbps DP-QPSK (industry)

224Gbps DP-16QAM single carrier (laboratorial)

448Gbps DP-16QAM dual carrier

(laboratorial)

1Tbps5 carriers

(laboratorial)

1. (CPqD Industry) Network element innovation

EDFA/RamanAmplifier(Industry)

Optical router(ROADM)(Industry)

Optical monitoring

(discrete and integrated photonics)

6

1. (CPqD Industry) Control plane

• Support to ROADMS:• Multi-degree (#2, #3, #4 ....)• Different capabilities/architectures: C-, CD-

CDC- ...• Multi-rate (2.5Gbs, 10Gbps, 40Gbps)• Compliance with WSON standards

• Advanced RWA Algorithms:• Constrained path computation• Primary-Backup path computation

• Lightpath protection/restoration

ROADM

OADM

ROADM

ROADM

OADM

OADM

OADM

OADM

ROADM

GMPLS

GMPLS

lightpath

lightpath

7

2. CPqD’s Strategy

R&D + Proof of Concept Products

HW FW Mec Mngt..MKT spec.

CPqD

8


3. CPqD’s optical networking testbed4. SDN controller (research)

1) NETCONF-modelling: YANG2) Automatic VON instantiation3) Control plane with PCE4) Cognitive EDFA5) Adaptable flexible transponder6) Global WSS equalization7) ADoD as NFV example8) Future vision: Predictive networks

5. NG-ROADM6. SDN controller

(development)


✓ ✓

9

CPqD’s research motivation (Optical networks current scenario)

Network management(Control plane)

Network infrastructure (Data plane)

Complex Functions (HW and SW)

Not scalable

Distributed intelligence along HW & net. nodes

Verticalized solutions

Lack of resources share or virtualization

Lack of optimization (infra structure and

performance)

100Mb/s

10Gb/s 10Gb/s 10Gb/s

100G – 100Tb/s

PROBLEMS

Proprietary

Vertically integratedClosed and proprietary

Slow innovation

AppAppAppAppAppAppAppAppAppAppApp

Well defined horizontal segmentsOpen interfacesFast innovation

Network OS #2

Network OS #3

Network OS #1 | |

Open interface

Specialized control plane

Specialized Hardware

Specialized Features

Optical network Equipments

Open interface

Amp. TranspondersRoteadores

ópticos

CPqD’s research motivation (Optical networks current → future scenario)

SDN

11

3. CPqD’s optical networking testbed

Laboratorial Testbed

Five node flexgrid mesh networkHomemade Network

Elements

CPQD AUTONOMOUS OPTICAL NETWORK TESTBED

WSS#3

SOM

SOD

WSS#3

SOD

SOM

SOM

SOD

WSS#3

SOM

SOD

WSS#3

SOD

SOM

SOM

SOD

WSS#4

SOM

SOD

SOD SOM

OA2

OC2

IC2

OB2

IB2SOD

SOM

SOD

SOM

OCM

SODSOM

OCM

SODSOM

SOD

SOM

OCM

SOM

SOD

OCM

SOD

SOM

SOD

SOM

OCM

Intra-Node Inter-Node

Inter-Nó Intra-Nó Inter-Nó Intra-Nó



Switch OSC XCPOSC Inter-Node#1 #2 #3

OSC Intra-Node


OSC Intra-Node


OSC Intra-Node


OSC Intra-Node

Switch OSC XCPOSC Inter-Node

#1 #2 #3 #4OSC Intra-Node

SDN Operating System(network management)

Node Managment

Node Managment Node Managment

Node Managment

Node Managment

12

4. Optical SDN controller (research focus)• Specialized HW

• communication network operating system

• applications (functions or network services)

• Communication interfaces

• Graph network abstraction• Legacy control plane

virtualized (GMPLS) • infra-structure share

(spectral segmentation)• Global network monitoring• Adaptive, cognitive and

autonomous performance optimization

• Transactions support

• Policies support;

• PCE, RWA, RSA support

• Fault prediction support;

Source: CPqD Globecom 2013

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4.1) YANG (NETCONF modeling language) for Opt. Net. OS

• NETCONF-modeling language YANG models ROADM building blocks and its interconnections.

• The YANG model turns into a Multi-graph Abstraction (nodes, edges)

• O-NE Concatenation through YANG model

• Network integrated model

• Whole network analogue to a multi-chassis NE, while an O-NE is analog to a line-card in a chassis

Experimental Network with 5

ROADMs

KEY:Black nodes: Chassis system (model) ROADM Black Edges: ROADM interfacesRed nodes: Input interfaces Red edges: Connectivity NE (ACTIVE)Blue nodes: Output interfaces Blue edges: Connectivity NE (PASSIVE)Orange edges: Fibers connecting OUT -> IN interfaces

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4.2) Optical Networking (Virtualization)

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4.2) Automatic VON instantiation

• Optical network virtualization through spectral segmentation for each network:• HS-VON (High Speed Virtual Optical Network):

Optical network for 100Gbps channels and beyond;• Aims to avoid excessive signal degradation;

• Main-VON: Legacy optical network (for signals with rate lower than 100 Gbps);

LSP CreationSource: CPqD Globecom 2013

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4.3) Control plane with PCE

• Flex-Grid ROADMs:• Lightpaths with variable spectrum widths• GMPLS extensions (OSPF-TE, RSVPL-TE)

• PCE-based architecture:• Centralized path computation• Advanced RSA algorithms

• Fragmentation aware policies• Advanced Impairments Aware algorithms

• Estimated OSNR aware paths

ROADM

ROADM

ROADM

ROADMPCE

ROADM

GMPLS

GMPLS

PCEP

100Gbps400Gbps

Source: CPqD SBRC 2014

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4.4) Optical Networking (Cognitive Amplifier)• Cognitive process based on:

• Adaptative process based on optical amplifier operation points discrete performance caracterization;

• Then a machine learning process based on neural networks is used for extrapolation of operating region points and cognitive process feedback supported by channels bit error rate (BER);

• Goal: channels performance maximization (lowest noise figure with good flatness);• Result: 400% (6 dB) QoS enhancement;

Cognitive Amplifier(Neural Networks)

Adaptive Algorithm Source: CPqD OFC/NFOEC 2013

BER

Gain

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4.5) Adaptable Flexible Transponder• Adaptive process:

• The QoS parameter (OSNR) is obtained through monitoring application, than in case of minimum threshold point achieved, the transmitter modulation format is reconfigured to enhance performance;

• Goal: Keeping Tx/Rx rate even under drastic network conditions allied to spectral efficiency maximization;

• Result: Error free transmission for a 448Gbps signal under 22 dB OSNR degradation• Reconfiguration: 448Gbps (2 carriers, 28Gbaud x4 symbols) 16QAM;

448Gbps (4 carriers, 28Gbaud x2 symbols) DP-QPSK;

Source: CPqD OFC/NFOEC 2014 invited & JOCN 2014

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4.6) Global WSS Spectrum Equalization• Global spectrum equalization of ROADMs inside an optical network:

• Na global equalization is able to optimize the whole link better than the selfish local equalization strategy;

• Goal: Transmitted signals OSNR maximization in reconfigurable optical network link ROADMs based;

• Result: Global equalization enhaces up to 316% (5 dB) the transmitted signals OSNR, considering an optical DWDM link transmitting 8.96 Tbps (80x112Gbps);

80x1

12G

bp

s (8

Tb

ps)

Local equalization – attenuation sum

Global equalization – 1st Iteration

Global equalization – steady state

5 dB

Source: CPqD OFC/NFOEC 2014 (Accepted)

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4.7) Add/Drop on Demand as NFV example

• Add/drop bank on demand (ADoD) consists of an optical backplane that interconnects each degree (line interface) different modules and transponders.

Rx Rx Rx

Fromdegree

1

Optical Backplane

…

k×mRx

N 1 N

Towardsdegree

Tx Tx Tx

…

k×m

Tx

…k

…ADoD modules

…k …k …k

… …

Rx Rx Rx Rx Rx

Fromdegree

1 3

Rx Rx Rx Rx Rx Rx

2

Rx

Backplanecross-

connections

Fromdegree

TFA

Rx Rx Rx Rx Rx

1 3

Rx Rx Rx Rx Rx Rx

2

Rx Rx Rx Rx Rx Rx

1 3

Rx Rx Rx Rx Rx Rx

2

Rx

Fromdegree

i) ii) iii)

i) Example of a synthesized ADoD (only drop direction) with degree 3

ii) # signals from degrees 1 and 2 exceeds connectivity. Then, two modules of EDFA+splitter and a module of tunable filter array are shared.

ii) # signals from 1 and 2 decrease (i.e. handled by direct backplane cross-connections), and EDFA+WSS is required for incoming signals from 3.

Source: CPqD OFC/NFOEC 2014 (Accepted)

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4.8) Future vision: Predictive Networks

• With the optical networks complexity grown, proactive fault prediction systems are the key to enhance network availability;

• An on-line fault prediction system is based on live monitoring during algorithm execution;• A predictive fault system uses a set of methods and models based in actual and past

monitoring data to predict faults

Online failure prediction

Symptom monitoring

Classifiers System models

Time seriesAnalysis

Function approximation

Graph models

Instance models

Stochastic Models

Machine Learning

BayesianClassifiers

FuzzyClassifiers

Feature Analysis

Time seriesprediction

RegressionCluster models

Failuretracking

Co-occurenceProbability Distribution Estimation

BayesianPredictors

Non-parametric methods

Detect errorreporting

Pattern recognition

Statisticaltests

Rule-based approaches

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5. NG-ROADM 6. SDN controller

(development)


✓ ✓

3. CPqD’s optical networking testbed4. SDN controller (research)

1) NETCONF-modelling: YANG2) Automatic VON instantiation3) Control plane with PCE4) Cognitive EDFA5) Adaptable flexible transponder6) Global WSS equalization7) ADoD as NFV example8) Future vision: Predictive networks

✓✓

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5. NG-ROADM (introduction)

Coupler /splitter

WSS

KEY:

Route and Select

DegreeInputs

DegreeOutputs

1

N

1

N

• CPqD is currently developing a NG-ROADM (upgradable) platform with express banks:

• Broadcast and select &Route and select

• Add/drop (with different costs per λ) banks that support:

• Colorless: Add/drop ports are not associated to a specific wavelength.

• Directionless: Add/drop ports are not associated to a specific ROADM input or output port.

• Contentionless: Wavelength repetition inside the same add/drop bank is allowed (up to ROADM degree size).

• Flexible grid: Reconfigurable spectrum slots of 12,5 GHz.

• NETCONF-modeling language YANG is used in the development of this new platform

Towards / fromadd/drop bank

Broadcast and Select

DegreeInputs

DegreeOutputs

1

N

1

N

Towards / fromadd/drop bank

Developed

Underdevelopment

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5. ROADM-NG (DBANK)

• Directionless Bank (DBANK) card

• WSS switching from/to express bank

• Mux/demux from/to add/drop ports

• 80 add ports, 80 drop ports

KEY:Black nodes: Chassis system (model) NEBlack edges: NE interfacesRed nodes: Input interfacesBlue nodes: Output interfaces Red edges: Connectivity NE (ACTIVE)

Coupler / splitter

WSSKEY:

Mux / demux

Demux Mux

From / towards express bank

Drops Adds

DBANKcard

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5. ROADM-NG (CD)

• Colorless Directionless Filtered Bank (CD) card

• WSS switching from/to express bank

• WSS to drop ports, Coupler from add ports


Coupler / splitter

WSS

KEY:


Drops Adds

CDFiltered card

26

5. ROADM-NG (CD/CDC and CR Bank)• Colorless Directionless Contentionless Bank (CDC) card

• WSS switching from/to express bank, MCS from/to add/drop ports


• Contention Resolution Bank (CR) card

Coupler / splitter

Multicast switch

KEY:


Drops Adds

MCS MCS

MCS

WSS

CD/CDC


Splitter Splitter

CR Bank

CD/CDC

CR Bank

Contention λ’s pathMain λ’s path

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5. Mixed add/drop banks (CDC) evolutive solution

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5. ROADM-NG (Multilayer Control plane)

• ROADM/ODU-k switching platform:• CPqD ROADMs• Padtec OTN Switches• GMPLS-based WSON solution

• PCE-based architecture• Centralized path computation• Constrained dynamic traffic grooming

• ODU-i ODU-j• ODU-k Multi-rate lightpaths

• Multi-layer path protection algorithms

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6. Introduction to SD convergent N (SDcN)

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6. Architecture of the solution

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6. What are (and how to use) applications for SDcN

Applications• Aalgorithms with a specific goal (purpose) that act on the network via instructions

allowed by the Application Server.• Receive events from the network via callbacks.• Act directly in virtual networks, considering the constraints defined by the network

operator.• Work on agnostic concepts of access technologies.• Have a complete and vast infrastructure, that contains:

• Historical measurements• Libraries of services• Periodic sampling of devices’ properties• Thresholds analysis• Topology discovery • Devices monitoring

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CPqD Strategy – Towards Terabit Optical Netwoks

Design and packaging coherent

linecard critical components

Cognitive Optical Networks

(GMPLS/SDN, Amps, ROADMs,

Monitoring)

100 Gb/s

200 Gb/s400 Gb/s

1 Tb/s

Coherent transmission

evolution towards NxTb/s

Focus onINDUSTRY(Products)

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Acknowledgements

www.cpqd.com.brThank You!

Cpqd's SDN activities in optical dwdm terabit networks

Technology

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