SDN - ewsdn 2014

EWSDN – 2014 Budapest Hungary September 1 – 3
Gabriele Galimberti
Optical Systems & Transceivers Business - Architecture Team
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 Goal
–Simplify and Streamline Operational Models – Global View and Global Impact
–Improved SLAs enhancing the User Experience – “Best Effort”??
–Reduced Capital Expenses based on total network optimization - >60% savings
–Increase Service Velocity – Months to Minutes
–Allow multi-vendor / multi-domain operation – From a single controller
 Today
–Network Planning performed in silos
–Network Architectures are viewed in Layers
–Operations are Layer Focused
–When talking about Optimizing it is not about the network but the layer
 Requirement
–The Network must be treated as ONE, although respect layered expertise
–Hide Network Complexity from User
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 Depending on who you talk to
–SDN solves all “unsolvable” issues
Time Travel
Teleportation
Extracting sunlight from cucumbers etc…
 Realistically
–SDN separates Control Plane from Data Plane
–Provides lower level abstractions
Application drives network
Software provides functionality or service constraint to act on lower level abstraction
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 Utilizing Centralized SDN controller to
View:
control Optical TransportCisco
networks
Provisioning
App
• Layered SDN in not enough
ONE is key
are
Technology
Resources
Capabilities
 OpenFlow appears to be the interface
Etc.
• Flexible NE interfacing is required
of choice
Router
Optical
• Hybrid Control is Key
 Application drives controller to act on
Optical Transport network• A Trusted path to the End Goal is
important
• Netconf Yang would be preferred
 Network elements expose Switching,
Treat
Xconn, BW. Aggregation •etc…
to entire network as
• Focus on Service, NEs
controller
Management
App
Abstraction View
SDN Controller
Open Flow
Provisioning
Configuration
Routing Domain
Optical Domain
This is very useful… BUT, is it enough??
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A possible Phased Approach to SDN
Building Trust in the Network
nLight Multi-Layer Control
Plane
Multi-Layer Information Sharing
and Provisioning
Leverage GMPLS-UNI
Dynamic Online
Multi-Layer Control
Building Trust
Network Optimization
Dynamic Online Multi-Layer
Capabilities
Hybrid Control - best of distributed
and centralized
Powerful offline analysis of real-time data
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 Simplest Form – Control Plane (CP) leverages signaling to automate what is done manually
today.
Rou ng Domain
DWDM Domain
BW Calendaring
Or NMS
Rou ng Domain
nLight CP
IP/MPLS
Constraint based /
intelligent service
crea on
DWDM Domain
Provisioning
Management
Open APIs
Central Control / Compute
Open APIs
Plug In / Controllers
CLI / TL1 / SNMP
Netconf - Yang
OF /CEP /
I2RS / TL-1
WSON
•
•
•
•
PMO
Independent IP/MPLS CP
Independent Optical CP – WSON
Wall separating layers
No real information sharing
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•
•
•
•
Multi Layer CP (nLight)
Open the Wall
Leverage Layered CP
Insert ML Signaling via UNI
Share Relevant Layered Info
•
•
•
•
SDN
Remove the Wall
Hybrid CP
Application Driven
Global View - Optimization
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 Open Daylight is a Open sourced developer
community providing a reference framework for
SDN and NFV with open sourced code to
accelerate the adoption of SDN.
 Multi vendor involvement
–35 Community members
–Ranging across industry with different level of
expertise
 Open Architecture defining:
–Network Applications and Orchestration
–Open NB APIs – REST APIs
–Controller – associated Services
Source: http://www.opendaylight.org/project/technical-overview
–Open SB APIs and Plugins for flexible protocol
integration
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Cisco Unified Controller
ML Visualization and
Activation
Assurance
OpenDaylight REST API
Data
Center
Basic
Service
Inventory
Topology
Policy
Manage
ment
Analytics
/ stats
Modeler
Carrier
Ethernet
Network
Programming
Collector
SNMP
Specific
Service
NetConf
PCEP
OF 1.3
Rou ng Domain
OTN Domain
Op cal Domain
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• ML network design (Multi Domain)
• ML network collection online
Circuits
Resources
• Offline Network Analysis
NOS'
(Formerly'
Mate)'
SNMP'/'Java'Lib'
Packet'Layer'
nLight"
ERO"
NOS'
(Formerly'
Mate)'
SNMP'/'API''
Topology
Packet'Layer'
nLight"
ERO"
Op- cal'Layer'
Op- cal'Layer'
x"
x"
PRIME'
'
Impact Analysis
What if Scenarios
ML Restoration feasibility
Reduce Op / Cap EX, improve Availability
ML Optimization
Coordinated Maintenance Feasibility
• Online Network Config or user config
• Vendor Agnostic leveraging Industry Proven tools and algorithms
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SDN
nLight CP
• Supports Multi Layer Service Turn Up
• Support Multi Layer Constraint based Service Turn Up
• Leverage Constraint based routing across all layers
• Global impact assessment across all layers
• Single Domain Single Vendor
• Multi Domain / Multi Vendor
IP/MPLS'
Constrained'based'
request'
nLight'
DWDM'
Constrained'based'
request'
Central'
Compute'
ON/
OFFLINE'
Media3on'Layer'
nLight'
2
Router'transport'
Router'Service'
One Domain
Successful'Circuit'Crea3on'
Successful'Circuit'Crea4on'
OOB'communica3on'
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Domain
#1
Router'transport'
Failed'Circuit'Crea4on'A6 empt'
OOB'communica4on'
DWDM'
2
1
Router'Service'
IP/MPLS'
1
Reduce Op EX, improve Availability, Increase Service Velocity
Domain
#2
Domain
#3
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SDN
nLight CP
• Optimized for Local / DWDM faults
• Optimized Disaster Recovery / Topology Changes
• Fastest for Initiation of Protection and Restoration
• High Availability - will leverage Distributed
• Highest availability– no connectivity concerns
• Higher Restore SLA based on Global view
• Optical Restore is best effort unless designed for
any to any
IP/MPLS'
nLight'
DWDM'
Constrained'based'
request'
X'
X'
Router'Service'
Router'transport'
Constrained'based'
request'
Central'
Compute'
ON/
OFFLINE'
Router'Service'
One Domain
Failed'Circuit'Crea4on'A6 empt'
OOB'communica4on'
Opera4onal'Service'
Reconverged'Packet'
Restored'Op4cal'Service'
© 2013 Cisco and/or its affiliates. All rights reserved.
nLight'
Media1on'Layer'
IP/MPLS'
Router'transport'
DWDM'
Domain
#1
X'
X'
Domain
#2
Domain
#3
Opera1onal'Service'
Reconverged'Packet'
Restored'Op1cal'Service'
OOB'communica1on'
Reduce Op / Cap EX – increase utilization
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• ML Network Optimizations:
Optimal routes after Restore trigger cleared
Stranded BW
Congestive Spans
Packet'Layer'
“Hardwired” Interfaces
• Topology or non Topology Changing
Central''
Compute'
ON'/'
offline'
Plug'in'
Router By Pass
Op- cal'Layer'
• User selectable time frames or event driven
Reduce Op / Cap EX, improve Availability, increase network longevity
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• Select Maintenance Node
• Verify level of service impact by maintenance event
• Route traffic around affected node
Wavelength and Packet
• Notify time to start event
• Restore traffic once maintenance complete
Central''
Compute'
ON'/'
offline'
Plug'in'
Packet'Layer'
Op- cal'Layer'
x"
Reduce Op EX, improve Availability, improve SLAs
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100%
90%
80%
70%
Baseline
60%
50%
MLBO
40%
MLBO+MLR-O
30%
MLBO+MLR-O+MLR-P
20%
10%
0%
DT year 1
DT year 5
Reference: IEEE Communication Magazine, Jan – Feb 2014
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TEF year 1
TEF year 5
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 Vendor Agnostic
 Ensuring agnostic requires robust data collection
–Leverage NetConf Yang Northbound
–Data Collection / Model to encompass and not limited to
Filter BW
Noise Figure
Filter Shape
CD Tolerance
OSNR
PMD Tolerance
Fiber Type
Power TX and RX
Fiber Length
Network DCUs, ETC…..
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Show savings in your network
 Work in close Partnership with Provider
 Share information regarding Network
–Topology – Optical / IP
–Circuit / Traffic Matrix
–Projected Growth over ‘X’ years
–Traffic Type – Premium, Low Latency, Best Effort, etc…
–Utilization
–IGP
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 Leverage Cisco Multilayer tools
–Analyze features that provide
MLBO
MLR-O
MLR-P
 Iterative Procedure for each Traffic Model
 Further analysis around Operational savings would be interesting
– ~59% Power Savings
– ~58% real estate savings
– ~20% increased Longevity of infrastructure
–Need to investigate soft savings, ie. Increased Service Velocity, Service Activation, SRLG
collection etc…
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Not about individual Components nor features but the Service!
Optical
Coherent
CCOFS-ROADM
Form Factor & Power
Management
Prime
Multi Domain
Multi Platform
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IP
ONE Network
Bring Layers together
Unified Management
Single Point of Control
Service Focused
Orchestration
Scale
Packet Processing
Form Factor / Power
Planning / Design
IP / MPLS planning
Optical Design/Plan
Network Modeling
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