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(1)

Networks and Optical Communications group – NOC

Adding application awareness in

flexible optical networking

Presenter:

Dimitrios Klonidis

(2)

Outline

Evolution of optical communication systems & networks

What is flexible optical networking

Application awareness in flexible optical networking

– the ACINO project approach

(3)
(4)

Upcoming services are huge bandwidth

generating sources:

• Video services

• Data services to/from mobile users

• Cloud services

These new traffic sources lead to new

characteristics:

• Rapidly changing traffic patterns -

high traffic churn

• High peak-to-average traffic ratio

• Large data-chunk transfers

• Asymmetric traffic between nodes

• Increasing high-QoS traffic

• …

Maintaining network resource

over-provisioning is not possible any more

Source: Transmode

Over-provisioning

Over-provisioning

(5)

Optical communications system capacity

and bit-rate x distance product

A

forward-looking option:

deploy new fibers (or use strands of available SMF fibers) that can support

multi-cores or/and multi-modes per core

(SDM/Spatially-flexible networks)

A

short-term solution:

utilize the available fiber spectrum more efficiently

-

(Spectrally flexible

networks)

0.00001 0.0001 0.001 0.01 0.1 1 10 100 1000 0 1 10 100 1,000 10,000 100,000 1,000,000 10,000,000

1983 1987 1991 1995 1999 2003 2007 2011 2015

T

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ty

(T

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s)

B

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ate

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istan

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Pr

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ct

(Gb

it/

s.

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m)

Year Published

WDM TDM OFDM/CoWDM Coherent Detection Spatial Multiplexing Total capacity

• Traffic increases at a rate of

20-40% per year, while capacity of

deployed SMF-based networks

approaches fundamental limits…

• Fiber bandwidth was consider for

many years as an abundant

resource, but we

have almost

utilized to the maximum extend

the EDFA amplifiers bandwidth

(i.e. while approaching the

fundamental SE limits)

(6)

The technology shift to coherent mesh

networks

Multi-level (>2) modulation

formats for improved

spectral efficiency and reach

Coherent detection

Polarisation division

multiplexing/demultiplexing

Digital signal pre/post

processing algorithms

High speed ASICs/FPGAs

Photonic ICs

10G

100G

40G

400G

Multi-rate  variable spectrum

interface

10G

43Gb/s @50GHz

112Gb/s @50GHz

224Gb/s @50GHz

448Gb/s @80GHz

1Tb/s @170GHz

(7)
(8)

Flexible/elastic optical networks

The definition

Flexible (Elastic) Optical Network = A network able to adapt its resources (link capacity,

transmission bandwidth per node, switching capacity etc.) according to the connectivity (i.e.

traffic) demands in an automated fashion

Flexible, elastic, tunable, gridless, or adaptive

are few examples of the terms used by the

research community to describe such solutions

The target

Offer optimization of the poorly-filled wavelengths of the fixed spectrum grid via a flexible

spectrum allocation that requires a new wavelength-grid enabling adaptive sub-wavelength

and super-wavelength services

400G

40G

10G

100G

400G

40G

Flexible

Spectrum

Spectrum-Flexible Optical

Node

Spectrum-Flexible Optical

Node

Adaptive

Line-Rate/

Modulation Format

f

B a n d w id th -F le x ib le W S S B a n d w id th -F le x ib le W S S B a n d w id th -F le x ib le W S S B a n d w id th -F le x ib le W S S

(9)

Flexible Optical Networking

Enabling elements to realize flexible

networking

Main building blocks for enabling flexible networks:

Flexible transponders

Network planning &

control plane

Flexible switching

nodes

(10)
(11)

Min. WSS

resolution

e.g. 12.5GHz

Nyquist WDM

Optical OFDM

or

Elctronic OFDM

(i.e. with SC generated in el. Domain)

Nyquist-FDM

(i.e. with N-shaped spectra generated electronically)

m-QAM

(format selectable)

(12)

Multiplexing schemes and modulation

formats to compose super-channels

(13)

A flexible node architecture

(14)

Expanding the link capacity limits

Time

:

Too expensive to go to higher symbol rates (>32Gboud)

PMD starts becoming an issue

Format level

:

Multi-level schemes have reduced transmission distance and increased processing complexity

Polarization level

:

Is limited to two levels

Frequency

:

Increased spectrally-efficiency with the use of flexible multiplexing schemes (i.e. Nyquist WDM and

optical OFDM),

BUT

still limited capacity increase (Shannon limit)

Expansion to other wavelength bands beyond C+L may be a solution (still limited), but requires wideband

modules

Space

:

This is the obvious yet unexplored dimension

“if capacity is limited then offer multiple systems in parallel”

… BUT by simply increasing the number of systems, the cost and power

consumption also increase linearly!

(15)

15

Hero transmission experiments

… BUT all these are very good for the spatial capacity increase in

Point-to-Point systems…

(16)

Capacity expansion … In Space

The true use of the space domain requires the…

…“

spatial integration of system elements

”*

• Significant efforts in the development of

FMF and MCF

(fibre integration)

Multi-link amplification systems

have also be proposed and developed

Tx/Rx integration

is a hot and very active topic

… BUT,

all these are good only for the spatial capacity increase in Point-to-Point

systems

WHAT ABOUT using the spatial dimension for optical networking?

(17)

Modes/Cores

Wavelengths

Data rate

(Modulation level)

Degrees of Flexibility

The INSPACE channel allocation concept

Modes

or

Cores

f

f

f

f

f

: end-to-end allocated channel

Spatial expansion of the

spectrum over multiple

modes/cores and therefore

definition of a superchannel

over two dimensions

(instead of the spectrum

only dimension)”

SMF-Bundle

or

FMF

or

MCF

Frequency Frequency

Conventional optical OFDM Optical fast OFDM

(N-1)/T

(N-1)/2T

Nis the channel number (=7 in this example)

(a) (b)

Frequency Frequency

Conventional optical OFDM Optical fast OFDM

(N-1)/T

(N-1)/2T

Nis the channel number (=7 in this example)

(a) (b)

N-WDM

or

OFDM

or

SC-M-QAM

Fibre,

Mode

,Core

(18)

Routing and resource optimization

Traditional approaches use the wavelength

channel allocation option

Requires wavelength

routing algorithms

In flexible networks a number of subcarrier slots

are now to be assigned

Routing and

spectrum allocation algorithms

(RSA).

As the modulation level can be selected on a

connection basis, constraints tying it to the

required bit-rate versus the achieved reach, are

necessary.

Routing

modulation level

and spectrum allocation

algorithms (RMLSA).

A further addition is the allocation of spatial

super-channels to fiber cores/modes

Spatial

routing modulation level and spectrum

allocation algorithms (S-RMLSA)

The discussed algorithms can address the offline

network planning phase, or they can be applied

to

dynamically provision

connection requests.

Speed???

(19)
(20)

Networking and Control

Significant

improvements are

needed in the control

plane architecture that

should provide a new

set of functionalities,

such as:

• Flexible/elastic traffic

support

• Physical layer

awareness

• Multi-domain and

multi-vendor support

• Network

virtualization

• Evolution towards

cognitive networks

(21)

Networking and Control

What does the space

dimension bring in

networking:

• More routing and channel

allocation options

more

optimization options

in

terms of:

Link capacity

Cost (Capex-Opex)

Energy efficiency

• Hitless spectral

defragmentation

using the

space domain

• Support of “actual”

network virtualization

with spatial separation

virtual network segments

Capacity flexibility can be

maintained in spectrum

domain

• BUT

increased complexity

in the control plane

Spatial allocation of

VN segments

(22)

Control plane options for flexible

networking

Fixed rate channel allocation

in wavelength domain

• λ reconfigurability, ROADMs

legacy networks

future flexible networks

Spectrum

dimension

Spectrum + BW flex

dimension

Spectrum + BW + Spatially flex

Ch

an

n

el

al

lo

cati

o

n

o

p

ti

o

n

s

Space

d

im

en

si

o

n

Con

tro

l

p

lan

e

so

lu

ti

o

n

s

Static spatial expansion to

multiple links

GMPLS based control plane

Well defined and worked fine

Adaptive rate channel allocation in

wavelength domain

Programmable (i.e. adaptive) devices

Sliceable spectrum

Static spatial expansion to

multiple links

GMPLS extensions required

to take the BW flexible option into

consideration

SDN concept into networking

efficient control of programmable

resources in a sliced spectrum

Adaptive rate channel allocation in

wavelength AND space domains

Extend flexibility (programmability) to

space domain (switching nodes)

Adaptive spatial expansion to

multiple links/cores

A GMPLS may lead to suboptimal

allocation of multi-dimension

resources (+scalability issues)

SDN can make the difference!

Support of multi-dimensional flexibility

(23)

Why SDN in flexible optical networks?

SDN and GMPLS (the common centralized version) have the same goal

the “efficient” routing of demands in a network.

• They both consider all the network resources available and can potentially optimize their

use

• They both rely on the use of path computation to identify the less costly path

However … what changes are:

a) The capabilities of the modern data plane (i.e. the DSP enabled hardware capabilities)

b) The amount of data required to be optimized (processed)

The key benefits of SDN in flexible optical networking are:

• The

more efficient control and management

of complicated networks

The higher the complexity the more efficient (compared to the limitations of GMPLS)

• The

manipulation of traffic

(packet)

according to type

Extra capabilities when the IP type of traffic comes into play

• The capability to

deal with virtualized network

infrastructures

(24)

Application awareness in flexible optical networking

– the ACINO project approach

(25)

Dimitrios Klonidis ([email protected]) - AIT

27

I-CAN Workshop, June 2015, Athens, Greece

The view of ACINO project

So far, the optimization of the Flexible optical network resources is

equivalent to the optimization of the data plane resources according

to the end-to-end demands

However, demands are generated from a diverse set of

applications/services with different needs

While the applications can be treated differently by the IP layer

(QoS), they are aggregated and treated commonly before they are

routed in the optical layer

Concept 1: Since

flexible optical networking

can adapt to the end-to-end

demands, why not

to be adaptive to the type of services/applications per

demand

.

SDN allows application control over the use of network resources,

but this is again limited to the IP layer

Concept 2: The need for an

application-centric network orchestration

is

foreseen.

(26)

Approach:

From application-unaware baseline…

Application-unaware baseline

• application classes could be treated differently at the IP layer by

its built-in QoS mechanisms

not currently a feature of the optical layer

• All traffic served by an IP interface mapped into an optical

connection sent towards the destination IP interface

At the edge of the transport network traffic for all

applications to the same next IP hop are translated

into an optical wavelength

E

D

SD Application class“red” traffic from S to D SD Application class “green” traffic from S to D SD Application class “blue” traffic from S to D

Legend

IP/Optical Transport Network

N1

N2

N3

B

A

DC

C

(27)

B

E

D

At the edge of the transport network

same/equivalent applications data are multiplexed

into smaller optical sub-wavelengths (thanks to

sliceable transponders)

IP/Optical Transport Network

N1

N2

N3

SD Application class“red” traffic from S to D SD Application class “green” traffic from S to D SD Application class “blue” traffic from S to D

Legend

A

DC

C

DC

Approach:

… to application-centricity!

Application-centric networking

• keep the different application classes separate down to the optical

layer

Different service (latency, survivability, security, ...) for apps

• IP/Opt: global vision, joint/differentiated optimization (virtual

IP/Optical networks per class)

(28)

Approach:

dynamic controller and primitives

A dynamic IP/Optical orchestrator able to expose to applications

primitives to be mapped into service

N1 N2 N3

Controller logic

D

ynam

ic

R

es

our

ce

A

lloc

ati

on

O

nl

ine

P

lanni

ng

Application-centric algorithms

O

rch

e

str

a

to

r

mo

d

u

le

s

….

APIs

p ri m it ive s p ri m it ive s p ri m it ive s

Applications / Network Management System

PRIMITIVES SPACE

Routing metrics Bandwidth Latency

….

In-Operation Planning Yes

Each 30 Minutes Objective: save energy

No

….

….

Specific application class needs

SERVICE

(how network is programmed)

….

Survivability Optical Protection Multi-layer Restoration Chosen Primitives

(29)

Flexible OADM Flexible OADM Flexible OADM Flexible OADM Flexible OADM Flexible OADM

R1

R2

R3

R3-R1 flow (80)

R3-R2 flow (20)

R1-R2 flow (60)

Flexible OADM Flexible OADM Flexible OADM

R3-R1 flow (80)

R3-R2 flow (20)

R1-R2 flow (60)

R1

R2

R3

Separate IP-Optical layer optimization

Optimization of the IP Layer

Shortest path routing

Dimensioning of the optical Layer

Sum { Max( IP Demand i ) }

Mapping of IP requests over the

optical layer topology

Joint dimensioning of IP links and

optical circuits

Joint IP-Optical layer optimization

Shortest IP/Optical path routing

Apply constraints for optimizing

spectral (and/or spatial)

resource utilization

A.

B.

Typical IP and Optical layer optimization

approaches

(30)

IP – Optical layer optimization with

application awareness

(31)
(32)

Summary and conclusions

Elastic/Flexible optical networking

• emerges from the need to optimize the network resources according to the

end-to-end demands, thus avoiding overprovision

• is assisted by major technology advancements in spectrally and data rate

adaptive transceivers and switching elements

• generates new opportunities with respect to network planning and resource

optimization options

… however the current research focus is restricted on the joint

optimization of the IP and optical layer ignoring the characteristics of

the application layer.

Application awareness in elastic optical networks is introduced:

• by separating the IP demands into Application Classes with different

end-to-end routing characteristics

• by applying simultaneously different optimization criteria in the optical layer

(driven by the AppClass demands)

• by providing new SDN orchestrator solutions that take into consideration all

the different optimization dimensions and interface with both the IP ports and

the optical switching nodes.

(33)

Thank you!

Acknowledgement

Dr. Domenico Siracusa from CREATE-NET for ACINO project

the NOC group members: Ioannis Tomkos, Pouria Khodashenas, Christopher Kachris and Jose M. Rivas

For more information please visit:

http://www.acino.eu/

for

http://www.ict-fox-c.eu/

for

http://www.ict-inspace.eu/

for

References

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