CPqD’s SDN Activities in Optical
DWDM Terabit Networks
Juliano R. Fernandes de Oliveira, Ph.D
Optical Networking Group Lea...
2
Motivation
Triple-Play Services
Cloud Computing and Streaming Media APPs
Big Sports
Events
Pope Jonh Paul II Death (2005...
3
Outline (Innovation cycle at the CPqD)
5. NG-ROADM
6. SDN controller
(development)
1. CPqD  Industry
2. CPqD’s strategy...
1. (CPqD  Industry) high capacity Tx/Rx innovation
112Gbps DP-QPSK
(industry)
224Gbps DP-16QAM
single carrier
(laboratori...
1. (CPqD  Industry) Network element innovation
EDFA/Raman
Amplifier
(Industry)
Optical router
(ROADM)
(Industry)
Optical
...
6
1. (CPqD  Industry) Control plane
• Support to ROADMS:
• Multi-degree (#2, #3, #4 ....)
• Different capabilities/archit...
7
2. CPqD’s Strategy
R&D + Proof of Concept Products
HW  FW Mec Mngt..MKT spec.
CPqD
8
Outline (Innovation cycle at the CPqD)
3. CPqD’s optical networking testbed
4. SDN controller (research)
1) NETCONF-mode...
9
CPqD’s research motivation (Optical networks current scenario)
Network management
(Control plane)
Network infrastructure...
Vertically integrated
Closed and proprietary
Slow innovation
AppAppAppAppAppAppAppAppAppAppApp
Well defined horizontal seg...
11
3. CPqD’s optical networking testbed
Laboratorial Testbed
Five node flexgrid mesh network
Homemade Network
Elements
CPQ...
12
4. Optical SDN controller (research focus)
• Specialized HW
• communication network
operating system
• applications (fu...
13
4.1) YANG (NETCONF modeling language) for Opt. Net. OS
• NETCONF-modeling language YANG
models ROADM building blocks an...
14
4.2) Optical Networking (Virtualization)
15
4.2) Automatic VON instantiation
• Optical network virtualization through
spectral segmentation for each network:
• HS-...
16
4.3) Control plane with PCE
• Flex-Grid ROADMs:
• Lightpaths with variable spectrum widths
• GMPLS extensions (OSPF-TE,...
17
4.4) Optical Networking (Cognitive Amplifier)
• Cognitive process based on:
• Adaptative process based on optical ampli...
18
4.5) Adaptable Flexible Transponder
• Adaptive process:
• The QoS parameter (OSNR) is obtained through monitoring appli...
19
4.6) Global WSS Spectrum Equalization
• Global spectrum equalization of ROADMs inside an optical network:
• Na global e...
20
4.7) Add/Drop on Demand as NFV example
• Add/drop bank on demand (ADoD) consists of an optical backplane that
interconn...
21
4.8) Future vision: Predictive Networks
• With the optical networks complexity grown, proactive fault prediction system...
22
Outline (Innovation cycle at the CPqD)
5. NG-ROADM
6. SDN controller
(development)
1. CPqD  Industry
2. CPqD’s strateg...
23
5. NG-ROADM (introduction)
Coupler /
splitter
WSS
KEY:
Route and Select
Degree
Inputs
Degree
Outputs
1
N
1
N
• CPqD is ...
24
5. ROADM-NG (DBANK)
• Directionless Bank (DBANK) card
• WSS switching from/to express bank
• Mux/demux from/to add/drop...
25
5. ROADM-NG (CD)
• Colorless Directionless Filtered Bank (CD) card
• WSS switching from/to express bank
• WSS to drop p...
26
5. ROADM-NG (CD/CDC and CR Bank)
• Colorless Directionless Contentionless Bank (CDC) card
• WSS switching from/to expre...
27
5. Mixed add/drop banks (CDC) evolutive solution
28
5. ROADM-NG (Multilayer Control plane)
• ROADM/ODU-k switching platform:
• CPqD ROADMs
• Padtec OTN Switches
• GMPLS-ba...
29
6. Introduction to SD convergent N (SDcN)
30
6. Architecture of the solution
31
6. What are (and how to use) applications for SDcN
Applications
• Aalgorithms with a specific goal (purpose) that act o...
32
CPqD Strategy – Towards Terabit Optical Netwoks
Design and
packaging coherent
linecard critical
components
Cognitive Op...
33
Acknowledgements
www.cpqd.com.brThank You!
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Cpqd's SDN activities in optical dwdm terabit networks

  1. 1. CPqD’s SDN Activities in Optical DWDM Terabit Networks Juliano R. Fernandes de Oliveira, Ph.D Optical Networking Group Leader, CPqD
  2. 2. 2 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/2013/03/14/173123 16-witnessing-papal-history-changes-with-digital-age Brazil 8.2 x Source: Cisco 2012 1,9 EB 0,9 EB 2010 2011 2012 2013 2014 2015 Internet Mobile Manged IP
  3. 3. 3 Outline (Innovation cycle at the CPqD) 5. NG-ROADM 6. SDN controller (development) 1. CPqD  Industry 2. CPqD’s strategy (optical comm.) 3. CPqD’s optical SDN testbed 4. SDN controller (research) 1) NETCONF-modelling: YANG 2) Automatic VON instantiation 3) Control plane with PCE 4) Cognitive EDFA 5) Adaptable flexible transponder 6) Global WSS equalization 7) ADoD as NFV example
  4. 4. 1. (CPqD  Industry) high capacity Tx/Rx innovation 112Gbps DP-QPSK (industry) 224Gbps DP-16QAM single carrier (laboratorial) 448Gbps DP-16QAM dual carrier (laboratorial) 1Tbps 5 carriers (laboratorial)
  5. 5. 1. (CPqD  Industry) Network element innovation EDFA/Raman Amplifier (Industry) Optical router (ROADM) (Industry) Optical monitoring (discrete and integrated photonics)
  6. 6. 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. 7. 7 2. CPqD’s Strategy R&D + Proof of Concept Products HW  FW Mec Mngt..MKT spec. CPqD
  8. 8. 8 Outline (Innovation cycle at the CPqD) 3. CPqD’s optical networking testbed 4. SDN controller (research) 1) NETCONF-modelling: YANG 2) Automatic VON instantiation 3) Control plane with PCE 4) Cognitive EDFA 5) Adaptable flexible transponder 6) Global WSS equalization 7) ADoD as NFV example 8) Future vision: Predictive networks 5. NG-ROADM 6. SDN controller (development) 1. CPqD  Industry 2. CPqD’s strategy (optical comm.) ✓ ✓
  9. 9. 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
  10. 10. Vertically integrated Closed and proprietary Slow innovation AppAppAppAppAppAppAppAppAppAppApp Well defined horizontal segments Open interfaces Fast 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. Transponders Roteadores ópticos CPqD’s research motivation (Optical networks current → future scenario) SDN
  11. 11. 11 3. CPqD’s optical networking testbed Laboratorial Testbed Five node flexgrid mesh network Homemade 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 SOD SOM OCM SOD SOM SOD SOM OCM SOM SOD OCM SOD SOM SOD SOM OCM Intra-Node Inter-Node Inter-Nó Intra-Nó Inter-Nó Intra-Nó Intra-Node Inter-Node Intra-Node Inter-Node Switch OSC XCP OSC Inter-Node #1 #2 #3 OSC Intra-Node Switch OSC XCP OSC Inter-Node #1 #2 #3 OSC Intra-Node Switch OSC XCP OSC Inter-Node #1 #2 #3 OSC Intra-Node Switch OSC XCP OSC Inter-Node #1 #2 #3 OSC Intra-Node Switch OSC XCP OSC Inter-Node #1 #2 #3 #4 OSC Intra-Node SDN Operating System (network management) Node Managment Node Managment Node Managment Node Managment Node Managment
  12. 12. 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
  13. 13. 13 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 interfaces Red nodes: Input interfaces Red edges: Connectivity NE (ACTIVE) Blue nodes: Output interfaces Blue edges: Connectivity NE (PASSIVE) Orange edges: Fibers connecting OUT -> IN interfaces
  14. 14. 14 4.2) Optical Networking (Virtualization)
  15. 15. 15 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 Creation Source: CPqD Globecom 2013
  16. 16. 16 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 ROADM PCE ROADM GMPLS GMPLS 100Gbps 400Gbps Source: CPqD SBRC 2014
  17. 17. 17 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
  18. 18. 18 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
  19. 19. 19 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); 80x112Gbps (8Tbps) Local equalization – attenuation sum Global equalization – 1st Iteration Global equalization – steady state 5 dB Source: CPqD OFC/NFOEC 2014 (Accepted)
  20. 20. 20 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 From degree 1 Optical Backplane … k×m Rx N 1 N Towards degree Tx Tx Tx … k×m Tx …k …ADoD modules …k …k …k … … Rx Rx Rx Rx Rx From degree 1 3 Rx Rx Rx Rx Rx Rx 2 Rx Backplane cross- connections From degree 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 From degree 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)
  21. 21. 21 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 series Analysis Function approximation Graph models Instance models Stochastic Models Machine Learning Bayesian Classifiers Fuzzy Classifiers Feature Analysis Time series prediction Regression Cluster models Failure tracking Co-occurence Probability Distribution Estimation Bayesian Predictors Non- parametric methods Detect error reporting Pattern recognition Statistical tests Rule-based approaches
  22. 22. 22 Outline (Innovation cycle at the CPqD) 5. NG-ROADM 6. SDN controller (development) 1. CPqD  Industry 2. CPqD’s strategy (optical comm.) ✓ ✓ 3. CPqD’s optical networking testbed 4. SDN controller (research) 1) NETCONF-modelling: YANG 2) Automatic VON instantiation 3) Control plane with PCE 4) Cognitive EDFA 5) Adaptable flexible transponder 6) Global WSS equalization 7) ADoD as NFV example 8) Future vision: Predictive networks ✓ ✓
  23. 23. 23 5. NG-ROADM (introduction) Coupler / splitter WSS KEY: Route and Select Degree Inputs Degree Outputs 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 / from add/drop bank Broadcast and Select Degree Inputs Degree Outputs 1 N 1 N Towards / from add/drop bank Developed Under development
  24. 24. 24 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) NE Black edges: NE interfaces Red nodes: Input interfaces Blue nodes: Output interfaces Red edges: Connectivity NE (ACTIVE) Coupler / splitter WSSKEY: Mux / demux Demux Mux From / towards express bank Drops Adds DBANK card
  25. 25. 25 5. ROADM-NG (CD) • Colorless Directionless Filtered Bank (CD) card • WSS switching from/to express bank • WSS to drop ports, Coupler from add ports • 40 add ports, 40 drop ports Coupler / splitter WSS KEY: From / towards express bank Drops Adds CDFiltered card
  26. 26. 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 • 24 add ports, 24 drop ports • Contention Resolution Bank (CR) card Coupler / splitter Multicast switch KEY: From / towards express bank Drops Adds MCS MCS MCS WSS CD/CDC From / towards express bank Splitter Splitter CR Bank CD/CDC CR Bank Contention λ’s path Main λ’s path
  27. 27. 27 5. Mixed add/drop banks (CDC) evolutive solution
  28. 28. 28 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
  29. 29. 29 6. Introduction to SD convergent N (SDcN)
  30. 30. 30 6. Architecture of the solution
  31. 31. 31 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
  32. 32. 32 CPqD Strategy – Towards Terabit Optical Netwoks Design and packaging coherent linecard critical components Cognitive Optical Networks (GMPLS/SDN, Amps, ROADMs, Monitoring) Coherent transmission evolution towards NxTb/s Focus on INDUSTRY (Products)
  33. 33. 33 Acknowledgements
  34. 34. www.cpqd.com.brThank You!

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