Transcript EU-Japan Co-operation in the Field of Optical Networking Dimitra Simeonidou Topics for Collaborative Work Between EU-Japan • Space Division Multiplexed Optical Networks • Software.

EU-Japan Co-operation in the Field of Optical
Networking
Dimitra Simeonidou
Topics for Collaborative Work Between EU-Japan
• Space Division Multiplexed Optical Networks
• Software Defined Networking for Optical Transport
• New Data Centre Network Architectures
Space Division Multiplexed Optical Networks
Leveraging New Fibre Technologies for Highly
Scalable Optical Networks
1E
1P
6T
x108
x107
10P
100T
60G
Practical fibre limit - 20-30
Tbit/s
x106
x105
100 T
1+ T
600M
x104
Core
Metro
Access
x103
x102
x10
x1
1T
15G
6M
10G
155 M
64k
2000
2005
2010
2015
2020
2025
2030
2035
2040
• Moore’s law showing a growth of 100 times every ten years
• SDM transmission capacity delivers similar gains (10 times transmission capacity
increase in just 2-3 years) with respect to WDM in the 1990s.
SDM, Flexible and Scalable Optical Networking
•
Traffic projections push the limits of
single mode fibre before 2020.
•
Elastic optical networks have limited
benefits to just 2 times capacity
increase over Fixed-Grid networks
•
core/mode switching wavelength switching sub‐wavelength switching Evolu on from sta c to programmable op cal nodes (e.g. AoD) Programmable Node
Functionalities decoupled from I/O
SDM
In/Out
Optical
BVWSS
Backplane
SubSwitching
Mul ‐mode Giles et al, IEEE PTL,
vol 24, Nov 2012
…
Flexible, high‐capacity Infrastructure …
Very high node and network scalability
to support up to 100 times more
capacity than the current
infrastructure.
Application
Servers
…
•
Recent SDM record transmission
capacity deliver similar gains with
respect to WDM over TDM in the
1990s
• 10 times transmission capacity
increase in just 2-3 years
Application
Servers
Other
Functions
Mul ‐element SDM
In/Out
Mul ‐core SDM interfacing Sakaguchi et al.,
H. Takara, et.al., Th.3.C.1,
OFC 2012 PDP5C.1
ECOC 2012
SDM technology SDM Amplifica on K.S. Abedin et al., Opt. Express, 2012. Open Optical Hardware Ecosystem
• One hardware any function (within hardware limits) at any time
– Optical backplane(s) – large scale port switch e.g. MEMS / Beam steering, …
– Several pluggable photonic sub-systems and components
(SingleCore/MultiCore/Vortex/…)
Freq Select
MUX/DEMUX
MUX/DEMUX
Optical
Frequency
Defragmentation
Fast (nsec)
Switching
Multicast/B
roadcast
Fibers
In/Out
…
…
Fibers
In/Out
SDM
Backplane
Regeneration
Modulation/Rate
Conversion
…
AoD (Architecture on Demand)
Support for SDM Networking- ECOC 2012 PD
• Flexibility to support switching granularities in space/frequency/time
λ
AoD Node
λ
λ
λ
SDM
DEMUX
SDM
MUX
[7]
First SDM and multi-granular testbed with programmable
optical nodes utilising space/frequency/time switching
• Post-deadline submission: University of Bristol/UK and NICT/Japan-ECOC’12 PD
– Four AoD nodes and two 7-core fibre links.
– Elastic multi-granular switching utilising the space, frequency and time dimensions.
E
H
Tx-1
DE
MUX
Tx-2
18x42.7G
9x10G
AoD node configuration.
SMF outputs
… Optical Back Plane
MUX
Splitter
A
17 km
F
80 km
installed fibre
3 km
PLZT
2km 6km MCF
outputs
fibre
switching
I
J
SDM
MUX
Functional modules
Backplane cross-connections 4x10G Drop
Port
SDM
DEMUX
flexgrid/elastic band
switching
Drop
Ports
1
2
3
4
5
6
7
Drop
Ports
DCM
Node-3
1km Cross section of the MCFs.
7
Node-4
… … SDM
DEMUX
SSS
PLZT
MCF-2
fixed grid
SMF inputs
MCF
inputs
to drop sub-λ
1
2
3
4 SDM
5 MUX
6
7
MUX
Tx-3
DEMUX
2 km
fixed-grid switching
MUX
G
MCF-1
core/fibre switching
core-to-core switching
MCF-1
18x42.7G Tx-2
K
SDM
MUX
1
2
SDM 3
DE- 4
5
MUX 6
7
SSS SSS
Tx-5
18x10G
1
2
3
4
5
6
7
… Splitter
570m
100m
Node-2
fibre/core switching
B
C
D
6
5
2
1
170 µ
m
48 µm
4
3
MCF-2
Node-1
555G+
9x42.7G
Tx-1
6
5
7
1
17
0µ
m
2
3
49 µm 4
Tx‐4 [8]
10-ns PLZT switch
40G sub-λ
70-ns Tuneable Laser
10G sub-λ
FPGA
VIRTEX-II PRO
70-ns Tuneable Lase
Software Defined Networking for Optical Transport
SDN for Packet and Optical Circuit Convergence
SDN Applications
SDN Application
Mul Optical
-Domain Bandwidth
and Network Slicing
Extended OF Controller
Technology specific Flow Tables
Topology& Capability
Database
OF Interf.
OF Agent
BV WSS
BV WSS
OF Interf.
Cross technology
Flow Table
OF Interf.
OF Agent
OF Agent
BVT RX
OF Agent
OF Agent
BVT TX
BV OXC
WDM OXC
4K
Video
Server
4K Video
Client
Server
OF Interf.
GB-Ethernet
Switch
Server
OF Agent
Packet and Optical Convergence
Fully Converged OpenFlow [ECOC2012 PD]
Fixed Grid Op cal Domain (CTTC ,Spain)
SDN Applica ons
Mul -Domain Bandwidth and Network Slicing
OF Agent
WDM OXC
OF Agent
Extended OF Controller
OF Agent
OF Agent
OF Interf.
Server
OF Agent
OF Interf.
OFInterface
Interf.
OF Interf.
OF
OF Agent
BV WSS
OF Interf.
OF Agent
BVT RX
Fixed Grid Op cal Domain (KDDI, Japan)
OF Agent
WDM OXC
4K Video
Server
OF Agent
Server
OF Agent
BVT TX
BV OXC
Flexi Grid Op cal Domain (KDDI, Japan)
WDM OXC
OF Agent
OF Agent
BVT RX
OF Agent
BV OXC
OF Agent
OF Interf.
OF Agent
BV WSS
OF Agent
Topology& Capability
Database
Flexi Grid Op cal Domain (Essex, UK)
OF Agent
BVT TX
Inter-Domain
Flow Table
Intra-Domain Flow Tables (7 domains)
4K Video
Client
Server
Packet Switched Domain
(Essex, UK)
VPN tunnel
Controller
Interface
GB-Ethernet
Switch
Server
Packet Switched Domain
(Essex, UK)
a CTTC, KDDI
Collaboration: Ubristol, ADVA,
STRAUSS Project
OPAN: Optical Packet Access Network; ENs: Edge Nodes; BVT: Bandwidth-variable Transponders
New Data Centre Network Architectures
Data-center Network Architecture Migration
Typical view of datacenter cluster
Image: L.A.Barrozo and U. Hölzle (Google)
•
•
•
DC networks employ fat-tree networks for cost reasons
Tree topologies introduce bandwidth bottlenecks
Flat architectures:
• High connectivity; scaling to thousands of nodes
• Large bandwidth per port
• Low end-to-end latency (~ 1 microsecond for HPCs)
- Includes encoding/decoding, scheduling, etc
• Low cost
Orchestrated Management
App level
request
Hours-Days-Weeks
Manual, Painful, Error-prone
• Workload deployment requires
time and intervention of different
admin roles
• Connectivity of workload
components is static
• Performance is achieved with
over provisioning, questionable
scaling characteristics
Plan
Deploy
Operate
Infrastructure
Reconfigured
Discrete, Heterogeneous, Complex
• Multiple management roles and
domains
• Unable to make global decisions
efficiently and dynamically
• Requires expertise in different vendor
technologies
Control Plane
Traditional fat-tree designs
• Over provisioned
• Inefficient for east-west
communications
• Restricts (virtual) server
placement decisions
Cabling mess
• Many different
incompatible
interconnects
Automated, Streamlined, Optimized
• Rapid and flexible
workload management
• On demand resource
allocation and release
• Scalable and efficient
virtualized workload
components connectivity
Consolidated, Converged, Programmable
• Unified IT and SDN orchestrator
• Converged IT + Network
Unified Control Plane
virtualization for data centers
• Efficient and optimized virtual
resource utilization and allocation
• Enhanced abstraction mechanisms
for emerging optical technologies
High-performance optical solutions
• Flattened DC network architecture
• Fast TOR switch
• 3D stacked transceiver
• InP fast switch
• Low loss beam-streering switch
• Hollow-core and Multi-core fibers
FC HBA
FC HBA
NIC
NIC
NIC
NIC
HCA
CNA
Data Plane
CNA
Converged DCN
interconnect
Infrastructure Virtualisation & Slicing:
Native Feature of SDN
VN 1 Control
VN 2 Control
VN 3 Control
Infrastructure virtualization
S
F
Isolated
Client
Network
Slices
T
S
T
F
F
S
T
Optical Network Virtualization & Slice Isolation
Virtual Infrastructure
Virtual Infrastructure
Virtual Resources
Optical
Infrastructure
VI 1
Single VI Effect
VI 2
Multiple VI effect
SDM Enabling Slicing ( University of Bristol/NICT)
Thank you