SlideShare a Scribd company logo
Types of Optical Networks 
Regeneration 
Comparisons 
Network Planning 
Types of Translucent Networks 
Other Topics 
Conclusions 
Exercises 
Appendix 
Translucent Optical Networks: 
The Way Forward 
Philippe P. S. Fanaro 
October 2014 
Philippe P. S. Fanaro Translucent Optical Networks: The Way Forward 1 / 21
Types of Optical Networks 
Regeneration 
Comparisons 
Network Planning 
Types of Translucent Networks 
Other Topics 
Conclusions 
Exercises 
Appendix 
Opaque 
All Electronic Switching 
Translucent 
Balance between Electronic and Optical Switching 
Transparent 
All Optical Switching 
Evolution 
Opaque ! Transparent 
Philippe P. S. Fanaro Translucent Optical Networks: The Way Forward 2 / 21
Types of Optical Networks 
Regeneration 
Comparisons 
Network Planning 
Types of Translucent Networks 
Other Topics 
Conclusions 
Exercises 
Appendix 
3R 
Reamplify + Reshape + Retime 
2R 
Reamplify + Reshape 
Regeneration 
Could be accomplished purely in the optical domain, but it is more 
reliably done through the electronic format. 
Philippe P. S. Fanaro Translucent Optical Networks: The Way Forward 3 / 21
Types of Optical Networks 
Regeneration 
Comparisons 
Network Planning 
Types of Translucent Networks 
Other Topics 
Conclusions 
Exercises 
Appendix 
Today 
Transparent  TRANSLUCENT  Transparent 
Translucent Advantages 
! OXCs available to all wavelengths ) sharing improves regenerator 
usage. 
! Wavelength conversion capability of regenerators alleviates wavelength 
collisions, which saves the need for wavelength converters. 
! Unlikelihood of OXC nodes being fully opticalin the near future (the 
article was written in 2007 though.) 
Philippe P. S. Fanaro Translucent Optical Networks: The Way Forward 4 / 21
Types of Optical Networks 
Regeneration 
Comparisons 
Network Planning 
Types of Translucent Networks 
Other Topics 
Conclusions 
Exercises 
Appendix 
4 Basic Criteria 
! Transparent Island Division 
! Opaque Node Placement 
! 2R/3R Regenerator Allocation 
! Routing and Wavelength Assignement 
Focus 
! First 3 criteria are specific to your type of translucent network. 
! Last Criteria can be handle well enough in every type of network by 
the GMPLS. 
) We will focus on the first 3 criteria. 
Philippe P. S. Fanaro Translucent Optical Networks: The Way Forward 5 / 21
Types of Optical Networks 
Regeneration 
Comparisons 
Network Planning 
Types of Translucent Networks 
Other Topics 
Conclusions 
Exercises 
Appendix 
Transparent Islands 
Sparsely Opaque Nodes 
OXC Nodes 
Types 
! Transparent Islands 
! Sparsely Placed Opaque Nodes 
! Translucent Nodes 
Philippe P. S. Fanaro Translucent Optical Networks: The Way Forward 6 / 21
Types of Optical Networks 
Regeneration 
Comparisons 
Network Planning 
Types of Translucent Networks 
Other Topics 
Conclusions 
Exercises 
Appendix 
Transparent Islands 
Sparsely Opaque Nodes 
OXC Nodes 
Transparent Islands 
! Opaque: with regeneration (not necessarily conversion) 
! Transparent: no regeneration 
Philippe P. S. Fanaro Translucent Optical Networks: The Way Forward 7 / 21
Types of Optical Networks 
Regeneration 
Comparisons 
Network Planning 
Types of Translucent Networks 
Other Topics 
Conclusions 
Exercises 
Appendix 
Transparent Islands 
Sparsely Opaque Nodes 
OXC Nodes 
Main Criteria 
We want to minimize the costs: 
# Number of Transparent Islands ) 
) # Opaque Nodes ) 
) # Cost 
How to solve the Problem: NP-complete K-cluster 
! Choice of some criteria to use the L.M.S. 
! The problem can be solved in polynomial time (NP- complete). 
Philippe P. S. Fanaro Translucent Optical Networks: The Way Forward 8 / 21
Types of Optical Networks 
Regeneration 
Comparisons 
Network Planning 
Types of Translucent Networks 
Other Topics 
Conclusions 
Exercises 
Appendix 
Transparent Islands 
Sparsely Opaque Nodes 
OXC Nodes 
One Simple Strategy 
Nodes which have more lightpaths passing through them receive a higher 
weight, so a traffic balance may be achieved and all nodes be reachable 
from one another. 
Philippe P. S. Fanaro Translucent Optical Networks: The Way Forward 9 / 21
Types of Optical Networks 
Regeneration 
Comparisons 
Network Planning 
Types of Translucent Networks 
Other Topics 
Conclusions 
Exercises 
Appendix 
Transparent Islands 
Sparsely Opaque Nodes 
OXC Nodes 
Solving the Problem 
! Again an NP-complete K-Cluster problem... 
! Solveable through a 2D-Dijkstra algorithm, i.e., a Dijkstra algorithm 
which has 2 variables to minimize: wavelength losses and topological 
distance. 
Philippe P. S. Fanaro Translucent Optical Networks: The Way Forward 10 / 21
Types of Optical Networks 
Regeneration 
Comparisons 
Network Planning 
Types of Translucent Networks 
Other Topics 
Conclusions 
Exercises 
Appendix 
Transparent Islands 
Sparsely Opaque Nodes 
OXC Nodes 
Main Features 
! Most Uniform Signal Regeneration Distribution. 
! Allocation could be solved in a similar fashion as the 2D- Dijkstra 
from the Sparsely Opaque Nodes Placement. 
Philippe P. S. Fanaro Translucent Optical Networks: The Way Forward 11 / 21
Types of Optical Networks 
Regeneration 
Comparisons 
Network Planning 
Types of Translucent Networks 
Other Topics 
Conclusions 
Exercises 
Appendix 
Transparent Islands 
Sparsely Opaque Nodes 
OXC Nodes 
Solving the Problem 
! Apply different weights to the nodes of the network proportional to 
the ongoing traffic through them. 
! Then minimize the number of regenerators on each node. 
Philippe P. S. Fanaro Translucent Optical Networks: The Way Forward 12 / 21
Types of Optical Networks 
Regeneration 
Comparisons 
Network Planning 
Types of Translucent Networks 
Other Topics 
Conclusions 
Exercises 
Appendix 
Transparent Islands 
Sparsely Opaque Nodes 
OXC Nodes 
An Alternative 
Placing central regenerators to minimize the costs (Opaque Islands). 
Solving the Problem 
! Again an NP-complete K-cluster problem. If we would choose the 
alternative way, it would be a K-center problem. 
! Again a 2D-Dijkstra algorithm is adequate. 
Philippe P. S. Fanaro Translucent Optical Networks: The Way Forward 13 / 21
Types of Optical Networks 
Regeneration 
Comparisons 
Network Planning 
Types of Translucent Networks 
Other Topics 
Conclusions 
Exercises 
Appendix 
Other Topics for Research 
! Protection and restoration of translucent networks. 
! Traffic grooming on sparsely placed opaque nodes or translucent 
nodes. 
! Network performance monitoring and fault detection on sparsely 
placed opaque nodes. 
! Multicasting on sparsely placed opaque nodes. 
Philippe P. S. Fanaro Translucent Optical Networks: The Way Forward 14 / 21
Types of Optical Networks 
Regeneration 
Comparisons 
Network Planning 
Types of Translucent Networks 
Other Topics 
Conclusions 
Exercises 
Appendix 
Suggestion 
! Due to the fine granularity of the IP layer, the author suggests a 
combination of the IP and the Optical layers in order to achieve a better 
multicasting. 
! The optical layer would be responsible for a coarse trimming, while 
the IP layer, a more refined one. 
Philippe P. S. Fanaro Translucent Optical Networks: The Way Forward 15 / 21
Types of Optical Networks 
Regeneration 
Comparisons 
Network Planning 
Types of Translucent Networks 
Other Topics 
Conclusions 
Exercises 
Appendix 
From the Author 
! Further Research is necessary. 
! Obviously, opaque networks are the way forward, a natural transition 
into fully transparent networks. As argued, they offer a more efficient 
allocation of resources. 
Philippe P. S. Fanaro Translucent Optical Networks: The Way Forward 16 / 21
Types of Optical Networks 
Regeneration 
Comparisons 
Network Planning 
Types of Translucent Networks 
Other Topics 
Conclusions 
Exercises 
Appendix 
Exercises 
1 Differentiate the types of Optical Networks discussed. 
2 Why are Translucent Optical Networks the Way Forward? 
3 Which of the 3 types of Translucent Networks is the best? 
Philippe P. S. Fanaro Translucent Optical Networks: The Way Forward 17 / 21
Types of Optical Networks 
Regeneration 
Comparisons 
Network Planning 
Types of Translucent Networks 
Other Topics 
Conclusions 
Exercises 
Appendix 
Reference(s) 
Answers to the Exercises 
This Presentation’s Main Paper: 
G. Shen and R. S. Tucker, Translucent optical networks: The way 
forward, IEEE Commun. Mag., vol. 45, no. 2, pp. 48 54, Feb. 2007. 
Dijkstra’s Algorithm (Original Article): 
E. W. Dijkstra, A note on two problems in connection with graphs, 
Numer. Math., 1:269–271, 1959. 
Philippe P. S. Fanaro Translucent Optical Networks: The Way Forward 18 / 21
Types of Optical Networks 
Regeneration 
Comparisons 
Network Planning 
Types of Translucent Networks 
Other Topics 
Conclusions 
Exercises 
Appendix 
Reference(s) 
Answers to the Exercises 
(1): Differentiate the types of Optical Networks. 
There are mainly 3 types of optical networks: 
1 The first one would be the opaque in which the regeneration and 
treatment of the optical signal is accomplished in the electronic 
domain. 
2 The second one is a transition into the third. The translucent 
optical network tries to accomplish only the necessary optical to 
electronic conversion and/or regeneration in order to minimize the 
costs and maximize the speed of the flux in the network. 
3 The third and most probable future of the optical networks is the 
transparent optical network. Here, the network has no 
opto-electronic conversion, i.e., the network is fully optical, thus the 
speed of the ongoing flux is maximized. 
Philippe P. S. Fanaro Translucent Optical Networks: The Way Forward 19 / 21
Types of Optical Networks 
Regeneration 
Comparisons 
Network Planning 
Types of Translucent Networks 
Other Topics 
Conclusions 
Exercises 
Appendix 
Reference(s) 
Answers to the Exercises 
(2): Why are Translucent Optical Networks the Way Forward? 
Translucent Optical Networks are a mean of optimization of the more 
common Opaque Optical Network in which, through clever Opaque Node 
or OXC Regenerators placement, one tries to minimize the costs and 
maximize the speed of the traffic flux. 
Philippe P. S. Fanaro Translucent Optical Networks: The Way Forward 20 / 21
Types of Optical Networks 
Regeneration 
Comparisons 
Network Planning 
Types of Translucent Networks 
Other Topics 
Conclusions 
Exercises 
Appendix 
Reference(s) 
Answers to the Exercises 
(3): Which of the 3 types of Translucent Networks is the best? 
The OXC Nodes Network is the most optimal since there will be an 
adequate number of regenerators at each node. But it might be 
extremely complicated to solve in complex networks. So in some cases 
the Transparent Island or Sparsely Opaque Nodes Placement might be an 
easier and simpler solution. 
Philippe P. S. Fanaro Translucent Optical Networks: The Way Forward 21 / 21

More Related Content

What's hot

An Efficient DSP Based Implementation of a Fast Convolution Approach with non...
An Efficient DSP Based Implementation of a Fast Convolution Approach with non...An Efficient DSP Based Implementation of a Fast Convolution Approach with non...
An Efficient DSP Based Implementation of a Fast Convolution Approach with non...
a3labdsp
 
Analysis of Peak to Average Power Ratio Reduction Techniques in Sfbc Ofdm System
Analysis of Peak to Average Power Ratio Reduction Techniques in Sfbc Ofdm SystemAnalysis of Peak to Average Power Ratio Reduction Techniques in Sfbc Ofdm System
Analysis of Peak to Average Power Ratio Reduction Techniques in Sfbc Ofdm System
IOSR Journals
 
Performance Analysis of Fog Effect on Free Space Optical Communication System
Performance Analysis of Fog Effect on Free Space Optical Communication SystemPerformance Analysis of Fog Effect on Free Space Optical Communication System
Performance Analysis of Fog Effect on Free Space Optical Communication System
iosrjce
 
International Journal of Engineering Research and Development (IJERD)
International Journal of Engineering Research and Development (IJERD)International Journal of Engineering Research and Development (IJERD)
International Journal of Engineering Research and Development (IJERD)
IJERD Editor
 
Adaptive analog beamforming
Adaptive analog beamformingAdaptive analog beamforming
Adaptive analog beamforming
Khalid Hussain
 
Optical networks
Optical networksOptical networks
Optical networks
asantaana
 
DIGITAL WAVE SIMULATION OF LOSSY LINES FOR MULTI-GIGABIT APPLICATION
DIGITAL WAVE SIMULATION OF LOSSY LINES FOR MULTI-GIGABIT APPLICATIONDIGITAL WAVE SIMULATION OF LOSSY LINES FOR MULTI-GIGABIT APPLICATION
DIGITAL WAVE SIMULATION OF LOSSY LINES FOR MULTI-GIGABIT APPLICATION
Piero Belforte
 
241 250
241 250241 250
D05122235
D05122235D05122235
D05122235
IOSR-JEN
 
DETECTION OF POWER-LINES IN COMPLEX NATURAL SURROUNDINGS
DETECTION OF POWER-LINES IN COMPLEX NATURAL SURROUNDINGSDETECTION OF POWER-LINES IN COMPLEX NATURAL SURROUNDINGS
DETECTION OF POWER-LINES IN COMPLEX NATURAL SURROUNDINGS
csandit
 
Autonomous deployment for load balancing surface coverage in sensor networks
Autonomous deployment for load balancing    surface coverage in sensor networksAutonomous deployment for load balancing    surface coverage in sensor networks
Autonomous deployment for load balancing surface coverage in sensor networks
ieeepondy
 
He3512531256
He3512531256He3512531256
He3512531256
IJERA Editor
 
The Physical Layer
The Physical LayerThe Physical Layer
The Physical Layer
adil raja
 
Neural Waveform Modeling
Neural Waveform Modeling Neural Waveform Modeling
VECTOR VS PIECEWISE-LINEAR FITTING FOR SIGNAL AND POWER INTEGRITY SIMULATION
VECTOR VS PIECEWISE-LINEAR FITTING FOR SIGNAL AND POWER INTEGRITY SIMULATIONVECTOR VS PIECEWISE-LINEAR FITTING FOR SIGNAL AND POWER INTEGRITY SIMULATION
VECTOR VS PIECEWISE-LINEAR FITTING FOR SIGNAL AND POWER INTEGRITY SIMULATION
Piero Belforte
 
Real Time Localization Using Receiver Signal Strength Indicator
Real Time Localization Using Receiver Signal Strength IndicatorReal Time Localization Using Receiver Signal Strength Indicator
Real Time Localization Using Receiver Signal Strength Indicator
Rana Basheer
 
Bg4301324326
Bg4301324326Bg4301324326
Bg4301324326
IJERA Editor
 
エンドツーエンド音声合成に向けたNIIにおけるソフトウェア群 ~ TacotronとWaveNetのチュートリアル (Part 2)~
エンドツーエンド音声合成に向けたNIIにおけるソフトウェア群 ~ TacotronとWaveNetのチュートリアル (Part 2)~エンドツーエンド音声合成に向けたNIIにおけるソフトウェア群 ~ TacotronとWaveNetのチュートリアル (Part 2)~
エンドツーエンド音声合成に向けたNIIにおけるソフトウェア群 ~ TacotronとWaveNetのチュートリアル (Part 2)~
Yamagishi Laboratory, National Institute of Informatics, Japan
 
Introduction to deep learning based voice activity detection
Introduction to deep learning based voice activity detectionIntroduction to deep learning based voice activity detection
Introduction to deep learning based voice activity detection
NAVER Engineering
 

What's hot (19)

An Efficient DSP Based Implementation of a Fast Convolution Approach with non...
An Efficient DSP Based Implementation of a Fast Convolution Approach with non...An Efficient DSP Based Implementation of a Fast Convolution Approach with non...
An Efficient DSP Based Implementation of a Fast Convolution Approach with non...
 
Analysis of Peak to Average Power Ratio Reduction Techniques in Sfbc Ofdm System
Analysis of Peak to Average Power Ratio Reduction Techniques in Sfbc Ofdm SystemAnalysis of Peak to Average Power Ratio Reduction Techniques in Sfbc Ofdm System
Analysis of Peak to Average Power Ratio Reduction Techniques in Sfbc Ofdm System
 
Performance Analysis of Fog Effect on Free Space Optical Communication System
Performance Analysis of Fog Effect on Free Space Optical Communication SystemPerformance Analysis of Fog Effect on Free Space Optical Communication System
Performance Analysis of Fog Effect on Free Space Optical Communication System
 
International Journal of Engineering Research and Development (IJERD)
International Journal of Engineering Research and Development (IJERD)International Journal of Engineering Research and Development (IJERD)
International Journal of Engineering Research and Development (IJERD)
 
Adaptive analog beamforming
Adaptive analog beamformingAdaptive analog beamforming
Adaptive analog beamforming
 
Optical networks
Optical networksOptical networks
Optical networks
 
DIGITAL WAVE SIMULATION OF LOSSY LINES FOR MULTI-GIGABIT APPLICATION
DIGITAL WAVE SIMULATION OF LOSSY LINES FOR MULTI-GIGABIT APPLICATIONDIGITAL WAVE SIMULATION OF LOSSY LINES FOR MULTI-GIGABIT APPLICATION
DIGITAL WAVE SIMULATION OF LOSSY LINES FOR MULTI-GIGABIT APPLICATION
 
241 250
241 250241 250
241 250
 
D05122235
D05122235D05122235
D05122235
 
DETECTION OF POWER-LINES IN COMPLEX NATURAL SURROUNDINGS
DETECTION OF POWER-LINES IN COMPLEX NATURAL SURROUNDINGSDETECTION OF POWER-LINES IN COMPLEX NATURAL SURROUNDINGS
DETECTION OF POWER-LINES IN COMPLEX NATURAL SURROUNDINGS
 
Autonomous deployment for load balancing surface coverage in sensor networks
Autonomous deployment for load balancing    surface coverage in sensor networksAutonomous deployment for load balancing    surface coverage in sensor networks
Autonomous deployment for load balancing surface coverage in sensor networks
 
He3512531256
He3512531256He3512531256
He3512531256
 
The Physical Layer
The Physical LayerThe Physical Layer
The Physical Layer
 
Neural Waveform Modeling
Neural Waveform Modeling Neural Waveform Modeling
Neural Waveform Modeling
 
VECTOR VS PIECEWISE-LINEAR FITTING FOR SIGNAL AND POWER INTEGRITY SIMULATION
VECTOR VS PIECEWISE-LINEAR FITTING FOR SIGNAL AND POWER INTEGRITY SIMULATIONVECTOR VS PIECEWISE-LINEAR FITTING FOR SIGNAL AND POWER INTEGRITY SIMULATION
VECTOR VS PIECEWISE-LINEAR FITTING FOR SIGNAL AND POWER INTEGRITY SIMULATION
 
Real Time Localization Using Receiver Signal Strength Indicator
Real Time Localization Using Receiver Signal Strength IndicatorReal Time Localization Using Receiver Signal Strength Indicator
Real Time Localization Using Receiver Signal Strength Indicator
 
Bg4301324326
Bg4301324326Bg4301324326
Bg4301324326
 
エンドツーエンド音声合成に向けたNIIにおけるソフトウェア群 ~ TacotronとWaveNetのチュートリアル (Part 2)~
エンドツーエンド音声合成に向けたNIIにおけるソフトウェア群 ~ TacotronとWaveNetのチュートリアル (Part 2)~エンドツーエンド音声合成に向けたNIIにおけるソフトウェア群 ~ TacotronとWaveNetのチュートリアル (Part 2)~
エンドツーエンド音声合成に向けたNIIにおけるソフトウェア群 ~ TacotronとWaveNetのチュートリアル (Part 2)~
 
Introduction to deep learning based voice activity detection
Introduction to deep learning based voice activity detectionIntroduction to deep learning based voice activity detection
Introduction to deep learning based voice activity detection
 

Similar to Translucent optical networks the way forward

002072099803500314.pdf
002072099803500314.pdf002072099803500314.pdf
002072099803500314.pdf
mayur970057
 
The Evolution Of Optical Networks
The Evolution Of Optical NetworksThe Evolution Of Optical Networks
The Evolution Of Optical Networks
Michelle Davis
 
Optical Commuincation (2).pptx
Optical Commuincation (2).pptxOptical Commuincation (2).pptx
Optical Commuincation (2).pptx
ssuser6260be
 
Architectures for Optical Networks SLICE
Architectures for Optical Networks SLICEArchitectures for Optical Networks SLICE
Architectures for Optical Networks SLICE
Wellington Renan Gon
 
Optical Wireless Communications - from the space to the chip.
Optical Wireless Communications - from the space to the chip.Optical Wireless Communications - from the space to the chip.
Optical Wireless Communications - from the space to the chip.
Joaquin Perez
 
Passive Optical Networks
Passive Optical NetworksPassive Optical Networks
Passive Optical Networks
fanttazio
 
light tree
light treelight tree
light tree
GAYATHRI DEVI K V
 
Light tree
Light treeLight tree
Light tree
GAYATHRI DEVI K V
 
Ece free-space-optics-report
Ece free-space-optics-reportEce free-space-optics-report
Ece free-space-optics-report
VaibhavPandey141
 
Trends and evolution of optical networks and technologies
Trends and evolution of optical networks and technologiesTrends and evolution of optical networks and technologies
Trends and evolution of optical networks and technologies
Md.Bellal Hossain
 
Training Presentation Bob 09 17 09 Revised
Training Presentation Bob 09 17 09 RevisedTraining Presentation Bob 09 17 09 Revised
Training Presentation Bob 09 17 09 Revised
bdiehl
 
Protection
ProtectionProtection
Protection
Sanjay Sharma
 
Garth naar - optical fibre communication telecommunications
Garth naar -  optical fibre communication telecommunicationsGarth naar -  optical fibre communication telecommunications
Garth naar - optical fibre communication telecommunications
garthnaar
 
Presentation
PresentationPresentation
Performance Analysis of Bus Topology in Fiber Optic Communication
Performance Analysis of Bus Topology in Fiber Optic CommunicationPerformance Analysis of Bus Topology in Fiber Optic Communication
Performance Analysis of Bus Topology in Fiber Optic Communication
ijceronline
 
Crosslayertermpaper
CrosslayertermpaperCrosslayertermpaper
Crosslayertermpaper
B.T.L.I.T
 
Ccna 1 chapter 8 v4.0 answers 2011
Ccna 1 chapter 8 v4.0 answers 2011Ccna 1 chapter 8 v4.0 answers 2011
Ccna 1 chapter 8 v4.0 answers 2011
Dân Chơi
 
Introduction to optic fibre
Introduction to optic fibreIntroduction to optic fibre
Introduction to optic fibre
smoothmax
 
Silicon Photonics and Photonic NoCs: A Survey
Silicon Photonics and Photonic NoCs: A SurveySilicon Photonics and Photonic NoCs: A Survey
Silicon Photonics and Photonic NoCs: A Survey
drv11291
 
Implementation of li_fi_using_arduino
Implementation of li_fi_using_arduinoImplementation of li_fi_using_arduino
Implementation of li_fi_using_arduino
Vivek Bakul Maru
 

Similar to Translucent optical networks the way forward (20)

002072099803500314.pdf
002072099803500314.pdf002072099803500314.pdf
002072099803500314.pdf
 
The Evolution Of Optical Networks
The Evolution Of Optical NetworksThe Evolution Of Optical Networks
The Evolution Of Optical Networks
 
Optical Commuincation (2).pptx
Optical Commuincation (2).pptxOptical Commuincation (2).pptx
Optical Commuincation (2).pptx
 
Architectures for Optical Networks SLICE
Architectures for Optical Networks SLICEArchitectures for Optical Networks SLICE
Architectures for Optical Networks SLICE
 
Optical Wireless Communications - from the space to the chip.
Optical Wireless Communications - from the space to the chip.Optical Wireless Communications - from the space to the chip.
Optical Wireless Communications - from the space to the chip.
 
Passive Optical Networks
Passive Optical NetworksPassive Optical Networks
Passive Optical Networks
 
light tree
light treelight tree
light tree
 
Light tree
Light treeLight tree
Light tree
 
Ece free-space-optics-report
Ece free-space-optics-reportEce free-space-optics-report
Ece free-space-optics-report
 
Trends and evolution of optical networks and technologies
Trends and evolution of optical networks and technologiesTrends and evolution of optical networks and technologies
Trends and evolution of optical networks and technologies
 
Training Presentation Bob 09 17 09 Revised
Training Presentation Bob 09 17 09 RevisedTraining Presentation Bob 09 17 09 Revised
Training Presentation Bob 09 17 09 Revised
 
Protection
ProtectionProtection
Protection
 
Garth naar - optical fibre communication telecommunications
Garth naar -  optical fibre communication telecommunicationsGarth naar -  optical fibre communication telecommunications
Garth naar - optical fibre communication telecommunications
 
Presentation
PresentationPresentation
Presentation
 
Performance Analysis of Bus Topology in Fiber Optic Communication
Performance Analysis of Bus Topology in Fiber Optic CommunicationPerformance Analysis of Bus Topology in Fiber Optic Communication
Performance Analysis of Bus Topology in Fiber Optic Communication
 
Crosslayertermpaper
CrosslayertermpaperCrosslayertermpaper
Crosslayertermpaper
 
Ccna 1 chapter 8 v4.0 answers 2011
Ccna 1 chapter 8 v4.0 answers 2011Ccna 1 chapter 8 v4.0 answers 2011
Ccna 1 chapter 8 v4.0 answers 2011
 
Introduction to optic fibre
Introduction to optic fibreIntroduction to optic fibre
Introduction to optic fibre
 
Silicon Photonics and Photonic NoCs: A Survey
Silicon Photonics and Photonic NoCs: A SurveySilicon Photonics and Photonic NoCs: A Survey
Silicon Photonics and Photonic NoCs: A Survey
 
Implementation of li_fi_using_arduino
Implementation of li_fi_using_arduinoImplementation of li_fi_using_arduino
Implementation of li_fi_using_arduino
 

More from Philippe Fanaro

Avalia¸c˜ao dos exerc´ıcios do victor e guilherme
Avalia¸c˜ao dos exerc´ıcios do victor e guilhermeAvalia¸c˜ao dos exerc´ıcios do victor e guilherme
Avalia¸c˜ao dos exerc´ıcios do victor e guilherme
Philippe Fanaro
 
Notas aline bruno
Notas aline brunoNotas aline bruno
Notas aline bruno
Philippe Fanaro
 
3a lista
3a lista3a lista
3a lista
Philippe Fanaro
 
Lista2 amazonas
Lista2 amazonasLista2 amazonas
Lista2 amazonas
Philippe Fanaro
 
Gabartio10
Gabartio10Gabartio10
Gabartio10
Philippe Fanaro
 
Nota aline 1
Nota aline 1Nota aline 1
Nota aline 1
Philippe Fanaro
 
Gabarito artigo6
Gabarito artigo6Gabarito artigo6
Gabarito artigo6
Philippe Fanaro
 
Lista1 amazonas
Lista1 amazonasLista1 amazonas
Lista1 amazonas
Philippe Fanaro
 
Paper 6 point
Paper 6   pointPaper 6   point
Paper 6 point
Philippe Fanaro
 

More from Philippe Fanaro (9)

Avalia¸c˜ao dos exerc´ıcios do victor e guilherme
Avalia¸c˜ao dos exerc´ıcios do victor e guilhermeAvalia¸c˜ao dos exerc´ıcios do victor e guilherme
Avalia¸c˜ao dos exerc´ıcios do victor e guilherme
 
Notas aline bruno
Notas aline brunoNotas aline bruno
Notas aline bruno
 
3a lista
3a lista3a lista
3a lista
 
Lista2 amazonas
Lista2 amazonasLista2 amazonas
Lista2 amazonas
 
Gabartio10
Gabartio10Gabartio10
Gabartio10
 
Nota aline 1
Nota aline 1Nota aline 1
Nota aline 1
 
Gabarito artigo6
Gabarito artigo6Gabarito artigo6
Gabarito artigo6
 
Lista1 amazonas
Lista1 amazonasLista1 amazonas
Lista1 amazonas
 
Paper 6 point
Paper 6   pointPaper 6   point
Paper 6 point
 

Recently uploaded

Data Driven Maintenance | UReason Webinar
Data Driven Maintenance | UReason WebinarData Driven Maintenance | UReason Webinar
Data Driven Maintenance | UReason Webinar
UReason
 
The Python for beginners. This is an advance computer language.
The Python for beginners. This is an advance computer language.The Python for beginners. This is an advance computer language.
The Python for beginners. This is an advance computer language.
sachin chaurasia
 
Software Quality Assurance-se412-v11.ppt
Software Quality Assurance-se412-v11.pptSoftware Quality Assurance-se412-v11.ppt
Software Quality Assurance-se412-v11.ppt
TaghreedAltamimi
 
Curve Fitting in Numerical Methods Regression
Curve Fitting in Numerical Methods RegressionCurve Fitting in Numerical Methods Regression
Curve Fitting in Numerical Methods Regression
Nada Hikmah
 
学校原版美国波士顿大学毕业证学历学位证书原版一模一样
学校原版美国波士顿大学毕业证学历学位证书原版一模一样学校原版美国波士顿大学毕业证学历学位证书原版一模一样
学校原版美国波士顿大学毕业证学历学位证书原版一模一样
171ticu
 
Mechanical Engineering on AAI Summer Training Report-003.pdf
Mechanical Engineering on AAI Summer Training Report-003.pdfMechanical Engineering on AAI Summer Training Report-003.pdf
Mechanical Engineering on AAI Summer Training Report-003.pdf
21UME003TUSHARDEB
 
Software Engineering and Project Management - Introduction, Modeling Concepts...
Software Engineering and Project Management - Introduction, Modeling Concepts...Software Engineering and Project Management - Introduction, Modeling Concepts...
Software Engineering and Project Management - Introduction, Modeling Concepts...
Prakhyath Rai
 
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024
Sinan KOZAK
 
Manufacturing Process of molasses based distillery ppt.pptx
Manufacturing Process of molasses based distillery ppt.pptxManufacturing Process of molasses based distillery ppt.pptx
Manufacturing Process of molasses based distillery ppt.pptx
Madan Karki
 
AI assisted telemedicine KIOSK for Rural India.pptx
AI assisted telemedicine KIOSK for Rural India.pptxAI assisted telemedicine KIOSK for Rural India.pptx
AI assisted telemedicine KIOSK for Rural India.pptx
architagupta876
 
CompEx~Manual~1210 (2).pdf COMPEX GAS AND VAPOURS
CompEx~Manual~1210 (2).pdf COMPEX GAS AND VAPOURSCompEx~Manual~1210 (2).pdf COMPEX GAS AND VAPOURS
CompEx~Manual~1210 (2).pdf COMPEX GAS AND VAPOURS
RamonNovais6
 
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...
shadow0702a
 
Computational Engineering IITH Presentation
Computational Engineering IITH PresentationComputational Engineering IITH Presentation
Computational Engineering IITH Presentation
co23btech11018
 
cnn.pptx Convolutional neural network used for image classication
cnn.pptx Convolutional neural network used for image classicationcnn.pptx Convolutional neural network used for image classication
cnn.pptx Convolutional neural network used for image classication
SakkaravarthiShanmug
 
IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
IEEE Aerospace and Electronic Systems Society as a Graduate Student MemberIEEE Aerospace and Electronic Systems Society as a Graduate Student Member
IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
VICTOR MAESTRE RAMIREZ
 
Seminar on Distillation study-mafia.pptx
Seminar on Distillation study-mafia.pptxSeminar on Distillation study-mafia.pptx
Seminar on Distillation study-mafia.pptx
Madan Karki
 
Transformers design and coooling methods
Transformers design and coooling methodsTransformers design and coooling methods
Transformers design and coooling methods
Roger Rozario
 
4. Mosca vol I -Fisica-Tipler-5ta-Edicion-Vol-1.pdf
4. Mosca vol I -Fisica-Tipler-5ta-Edicion-Vol-1.pdf4. Mosca vol I -Fisica-Tipler-5ta-Edicion-Vol-1.pdf
4. Mosca vol I -Fisica-Tipler-5ta-Edicion-Vol-1.pdf
Gino153088
 
ISPM 15 Heat Treated Wood Stamps and why your shipping must have one
ISPM 15 Heat Treated Wood Stamps and why your shipping must have oneISPM 15 Heat Treated Wood Stamps and why your shipping must have one
ISPM 15 Heat Treated Wood Stamps and why your shipping must have one
Las Vegas Warehouse
 
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
IJECEIAES
 

Recently uploaded (20)

Data Driven Maintenance | UReason Webinar
Data Driven Maintenance | UReason WebinarData Driven Maintenance | UReason Webinar
Data Driven Maintenance | UReason Webinar
 
The Python for beginners. This is an advance computer language.
The Python for beginners. This is an advance computer language.The Python for beginners. This is an advance computer language.
The Python for beginners. This is an advance computer language.
 
Software Quality Assurance-se412-v11.ppt
Software Quality Assurance-se412-v11.pptSoftware Quality Assurance-se412-v11.ppt
Software Quality Assurance-se412-v11.ppt
 
Curve Fitting in Numerical Methods Regression
Curve Fitting in Numerical Methods RegressionCurve Fitting in Numerical Methods Regression
Curve Fitting in Numerical Methods Regression
 
学校原版美国波士顿大学毕业证学历学位证书原版一模一样
学校原版美国波士顿大学毕业证学历学位证书原版一模一样学校原版美国波士顿大学毕业证学历学位证书原版一模一样
学校原版美国波士顿大学毕业证学历学位证书原版一模一样
 
Mechanical Engineering on AAI Summer Training Report-003.pdf
Mechanical Engineering on AAI Summer Training Report-003.pdfMechanical Engineering on AAI Summer Training Report-003.pdf
Mechanical Engineering on AAI Summer Training Report-003.pdf
 
Software Engineering and Project Management - Introduction, Modeling Concepts...
Software Engineering and Project Management - Introduction, Modeling Concepts...Software Engineering and Project Management - Introduction, Modeling Concepts...
Software Engineering and Project Management - Introduction, Modeling Concepts...
 
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024
 
Manufacturing Process of molasses based distillery ppt.pptx
Manufacturing Process of molasses based distillery ppt.pptxManufacturing Process of molasses based distillery ppt.pptx
Manufacturing Process of molasses based distillery ppt.pptx
 
AI assisted telemedicine KIOSK for Rural India.pptx
AI assisted telemedicine KIOSK for Rural India.pptxAI assisted telemedicine KIOSK for Rural India.pptx
AI assisted telemedicine KIOSK for Rural India.pptx
 
CompEx~Manual~1210 (2).pdf COMPEX GAS AND VAPOURS
CompEx~Manual~1210 (2).pdf COMPEX GAS AND VAPOURSCompEx~Manual~1210 (2).pdf COMPEX GAS AND VAPOURS
CompEx~Manual~1210 (2).pdf COMPEX GAS AND VAPOURS
 
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...
 
Computational Engineering IITH Presentation
Computational Engineering IITH PresentationComputational Engineering IITH Presentation
Computational Engineering IITH Presentation
 
cnn.pptx Convolutional neural network used for image classication
cnn.pptx Convolutional neural network used for image classicationcnn.pptx Convolutional neural network used for image classication
cnn.pptx Convolutional neural network used for image classication
 
IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
IEEE Aerospace and Electronic Systems Society as a Graduate Student MemberIEEE Aerospace and Electronic Systems Society as a Graduate Student Member
IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
 
Seminar on Distillation study-mafia.pptx
Seminar on Distillation study-mafia.pptxSeminar on Distillation study-mafia.pptx
Seminar on Distillation study-mafia.pptx
 
Transformers design and coooling methods
Transformers design and coooling methodsTransformers design and coooling methods
Transformers design and coooling methods
 
4. Mosca vol I -Fisica-Tipler-5ta-Edicion-Vol-1.pdf
4. Mosca vol I -Fisica-Tipler-5ta-Edicion-Vol-1.pdf4. Mosca vol I -Fisica-Tipler-5ta-Edicion-Vol-1.pdf
4. Mosca vol I -Fisica-Tipler-5ta-Edicion-Vol-1.pdf
 
ISPM 15 Heat Treated Wood Stamps and why your shipping must have one
ISPM 15 Heat Treated Wood Stamps and why your shipping must have oneISPM 15 Heat Treated Wood Stamps and why your shipping must have one
ISPM 15 Heat Treated Wood Stamps and why your shipping must have one
 
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
 

Translucent optical networks the way forward

  • 1. Types of Optical Networks Regeneration Comparisons Network Planning Types of Translucent Networks Other Topics Conclusions Exercises Appendix Translucent Optical Networks: The Way Forward Philippe P. S. Fanaro October 2014 Philippe P. S. Fanaro Translucent Optical Networks: The Way Forward 1 / 21
  • 2. Types of Optical Networks Regeneration Comparisons Network Planning Types of Translucent Networks Other Topics Conclusions Exercises Appendix Opaque All Electronic Switching Translucent Balance between Electronic and Optical Switching Transparent All Optical Switching Evolution Opaque ! Transparent Philippe P. S. Fanaro Translucent Optical Networks: The Way Forward 2 / 21
  • 3. Types of Optical Networks Regeneration Comparisons Network Planning Types of Translucent Networks Other Topics Conclusions Exercises Appendix 3R Reamplify + Reshape + Retime 2R Reamplify + Reshape Regeneration Could be accomplished purely in the optical domain, but it is more reliably done through the electronic format. Philippe P. S. Fanaro Translucent Optical Networks: The Way Forward 3 / 21
  • 4. Types of Optical Networks Regeneration Comparisons Network Planning Types of Translucent Networks Other Topics Conclusions Exercises Appendix Today Transparent TRANSLUCENT Transparent Translucent Advantages ! OXCs available to all wavelengths ) sharing improves regenerator usage. ! Wavelength conversion capability of regenerators alleviates wavelength collisions, which saves the need for wavelength converters. ! Unlikelihood of OXC nodes being fully opticalin the near future (the article was written in 2007 though.) Philippe P. S. Fanaro Translucent Optical Networks: The Way Forward 4 / 21
  • 5. Types of Optical Networks Regeneration Comparisons Network Planning Types of Translucent Networks Other Topics Conclusions Exercises Appendix 4 Basic Criteria ! Transparent Island Division ! Opaque Node Placement ! 2R/3R Regenerator Allocation ! Routing and Wavelength Assignement Focus ! First 3 criteria are specific to your type of translucent network. ! Last Criteria can be handle well enough in every type of network by the GMPLS. ) We will focus on the first 3 criteria. Philippe P. S. Fanaro Translucent Optical Networks: The Way Forward 5 / 21
  • 6. Types of Optical Networks Regeneration Comparisons Network Planning Types of Translucent Networks Other Topics Conclusions Exercises Appendix Transparent Islands Sparsely Opaque Nodes OXC Nodes Types ! Transparent Islands ! Sparsely Placed Opaque Nodes ! Translucent Nodes Philippe P. S. Fanaro Translucent Optical Networks: The Way Forward 6 / 21
  • 7. Types of Optical Networks Regeneration Comparisons Network Planning Types of Translucent Networks Other Topics Conclusions Exercises Appendix Transparent Islands Sparsely Opaque Nodes OXC Nodes Transparent Islands ! Opaque: with regeneration (not necessarily conversion) ! Transparent: no regeneration Philippe P. S. Fanaro Translucent Optical Networks: The Way Forward 7 / 21
  • 8. Types of Optical Networks Regeneration Comparisons Network Planning Types of Translucent Networks Other Topics Conclusions Exercises Appendix Transparent Islands Sparsely Opaque Nodes OXC Nodes Main Criteria We want to minimize the costs: # Number of Transparent Islands ) ) # Opaque Nodes ) ) # Cost How to solve the Problem: NP-complete K-cluster ! Choice of some criteria to use the L.M.S. ! The problem can be solved in polynomial time (NP- complete). Philippe P. S. Fanaro Translucent Optical Networks: The Way Forward 8 / 21
  • 9. Types of Optical Networks Regeneration Comparisons Network Planning Types of Translucent Networks Other Topics Conclusions Exercises Appendix Transparent Islands Sparsely Opaque Nodes OXC Nodes One Simple Strategy Nodes which have more lightpaths passing through them receive a higher weight, so a traffic balance may be achieved and all nodes be reachable from one another. Philippe P. S. Fanaro Translucent Optical Networks: The Way Forward 9 / 21
  • 10. Types of Optical Networks Regeneration Comparisons Network Planning Types of Translucent Networks Other Topics Conclusions Exercises Appendix Transparent Islands Sparsely Opaque Nodes OXC Nodes Solving the Problem ! Again an NP-complete K-Cluster problem... ! Solveable through a 2D-Dijkstra algorithm, i.e., a Dijkstra algorithm which has 2 variables to minimize: wavelength losses and topological distance. Philippe P. S. Fanaro Translucent Optical Networks: The Way Forward 10 / 21
  • 11. Types of Optical Networks Regeneration Comparisons Network Planning Types of Translucent Networks Other Topics Conclusions Exercises Appendix Transparent Islands Sparsely Opaque Nodes OXC Nodes Main Features ! Most Uniform Signal Regeneration Distribution. ! Allocation could be solved in a similar fashion as the 2D- Dijkstra from the Sparsely Opaque Nodes Placement. Philippe P. S. Fanaro Translucent Optical Networks: The Way Forward 11 / 21
  • 12. Types of Optical Networks Regeneration Comparisons Network Planning Types of Translucent Networks Other Topics Conclusions Exercises Appendix Transparent Islands Sparsely Opaque Nodes OXC Nodes Solving the Problem ! Apply different weights to the nodes of the network proportional to the ongoing traffic through them. ! Then minimize the number of regenerators on each node. Philippe P. S. Fanaro Translucent Optical Networks: The Way Forward 12 / 21
  • 13. Types of Optical Networks Regeneration Comparisons Network Planning Types of Translucent Networks Other Topics Conclusions Exercises Appendix Transparent Islands Sparsely Opaque Nodes OXC Nodes An Alternative Placing central regenerators to minimize the costs (Opaque Islands). Solving the Problem ! Again an NP-complete K-cluster problem. If we would choose the alternative way, it would be a K-center problem. ! Again a 2D-Dijkstra algorithm is adequate. Philippe P. S. Fanaro Translucent Optical Networks: The Way Forward 13 / 21
  • 14. Types of Optical Networks Regeneration Comparisons Network Planning Types of Translucent Networks Other Topics Conclusions Exercises Appendix Other Topics for Research ! Protection and restoration of translucent networks. ! Traffic grooming on sparsely placed opaque nodes or translucent nodes. ! Network performance monitoring and fault detection on sparsely placed opaque nodes. ! Multicasting on sparsely placed opaque nodes. Philippe P. S. Fanaro Translucent Optical Networks: The Way Forward 14 / 21
  • 15. Types of Optical Networks Regeneration Comparisons Network Planning Types of Translucent Networks Other Topics Conclusions Exercises Appendix Suggestion ! Due to the fine granularity of the IP layer, the author suggests a combination of the IP and the Optical layers in order to achieve a better multicasting. ! The optical layer would be responsible for a coarse trimming, while the IP layer, a more refined one. Philippe P. S. Fanaro Translucent Optical Networks: The Way Forward 15 / 21
  • 16. Types of Optical Networks Regeneration Comparisons Network Planning Types of Translucent Networks Other Topics Conclusions Exercises Appendix From the Author ! Further Research is necessary. ! Obviously, opaque networks are the way forward, a natural transition into fully transparent networks. As argued, they offer a more efficient allocation of resources. Philippe P. S. Fanaro Translucent Optical Networks: The Way Forward 16 / 21
  • 17. Types of Optical Networks Regeneration Comparisons Network Planning Types of Translucent Networks Other Topics Conclusions Exercises Appendix Exercises 1 Differentiate the types of Optical Networks discussed. 2 Why are Translucent Optical Networks the Way Forward? 3 Which of the 3 types of Translucent Networks is the best? Philippe P. S. Fanaro Translucent Optical Networks: The Way Forward 17 / 21
  • 18. Types of Optical Networks Regeneration Comparisons Network Planning Types of Translucent Networks Other Topics Conclusions Exercises Appendix Reference(s) Answers to the Exercises This Presentation’s Main Paper: G. Shen and R. S. Tucker, Translucent optical networks: The way forward, IEEE Commun. Mag., vol. 45, no. 2, pp. 48 54, Feb. 2007. Dijkstra’s Algorithm (Original Article): E. W. Dijkstra, A note on two problems in connection with graphs, Numer. Math., 1:269–271, 1959. Philippe P. S. Fanaro Translucent Optical Networks: The Way Forward 18 / 21
  • 19. Types of Optical Networks Regeneration Comparisons Network Planning Types of Translucent Networks Other Topics Conclusions Exercises Appendix Reference(s) Answers to the Exercises (1): Differentiate the types of Optical Networks. There are mainly 3 types of optical networks: 1 The first one would be the opaque in which the regeneration and treatment of the optical signal is accomplished in the electronic domain. 2 The second one is a transition into the third. The translucent optical network tries to accomplish only the necessary optical to electronic conversion and/or regeneration in order to minimize the costs and maximize the speed of the flux in the network. 3 The third and most probable future of the optical networks is the transparent optical network. Here, the network has no opto-electronic conversion, i.e., the network is fully optical, thus the speed of the ongoing flux is maximized. Philippe P. S. Fanaro Translucent Optical Networks: The Way Forward 19 / 21
  • 20. Types of Optical Networks Regeneration Comparisons Network Planning Types of Translucent Networks Other Topics Conclusions Exercises Appendix Reference(s) Answers to the Exercises (2): Why are Translucent Optical Networks the Way Forward? Translucent Optical Networks are a mean of optimization of the more common Opaque Optical Network in which, through clever Opaque Node or OXC Regenerators placement, one tries to minimize the costs and maximize the speed of the traffic flux. Philippe P. S. Fanaro Translucent Optical Networks: The Way Forward 20 / 21
  • 21. Types of Optical Networks Regeneration Comparisons Network Planning Types of Translucent Networks Other Topics Conclusions Exercises Appendix Reference(s) Answers to the Exercises (3): Which of the 3 types of Translucent Networks is the best? The OXC Nodes Network is the most optimal since there will be an adequate number of regenerators at each node. But it might be extremely complicated to solve in complex networks. So in some cases the Transparent Island or Sparsely Opaque Nodes Placement might be an easier and simpler solution. Philippe P. S. Fanaro Translucent Optical Networks: The Way Forward 21 / 21