enabling dynamic, rapid & cost effective end to end ... · virtualization creates unpredictable...
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Enabling Dynamic, Rapid & Cost Effective End to End bandwidth from Metro Edge to Waters Edge
Chris Liou, VP Network StrategyInfinera
What I want you to take away today
2 © 2011 Infinera Corporation.
Bandwidth elasticity is paramount to deliver services cost effectively wherever and whenever needed
Network flexibility must adapt in real-time to changing requirements, while optimizing efficiencies & minimizing cost
Automation is mandatory to ensure a long term sustainable & scalable OpEx model
Transformative Network Influences
3 © 2011 Infinera Corporation.
Cloud computing & Virtualization• Data Center transformation
• XaaS adoption
Content & Video
Mobile Internet
Ethernet convergence
Content Provider networks
Network simplification: convergence & consolidation
Bandwidth is changing the way networks are built
Subsea
• Scalable capacity• Optimal $/bit• Future-proof for NG-
services• Integrated back-haul
Regional/LH Core
• Maximize fiber capacity• Optimizing optical reach• Any service - Any where• Bandwidth management• Automation/Ease of use
Metro Access/Core
• Minimizing cost/service• Broad service capabilities• Bandwidth management
and service aggregation• Service Flexibility
From Access to Subsea, BW demand requires architectural re-validation!
Long-HaulRegionalMetro Core SubmarineMetroAccess
5 © 2011 Infinera Corporation.
Emerging Subsea/Terrestrial Networking Requirements
SLTE
SubmarineTransport
New Services
TerrestrialBack-Haul
Service(eg: 10GbE LAN Phy)
Maximum spectral efficiency
Trans oceanic reach
Simple Dispersion Compensation
Software tunable modulation
Consolidated back-haul + SLTE
Integrated switching
Terrestrial optimized capacityand reach
10GbE LAN and WAN PHY (today)
OC-768 and STM-256 (today)
OTU1 and OTU2
100GbE and beyond (future)
SLTE
More Capacity, New Services, Faster, and at Lower Cost
New Services &End-to-end circuit mgmt
SLTE Simplification
Robust Demand for Subsea Bandwidth
6 © 2011 Infinera Corporation.
Most significant growth areas: Africa, Latin America, Middle East (>80% CAGR)
Cloud Computing Bandwidth Dynamics
7 © 2011 Infinera Corporation.
Virtualization & Cloud are driving distributed computing• Large-scale pooling & virtualization requires VM mobility, data set migration, etc.
Cloud network infrastructure is migrating towards mega-data centers• Driving higher bandwidth to & between cloud Data Centers
Cloud computing elasticity drives more dynamic bandwidth• Enterprise to Data Center, Data Center to Data Center
Evolving network dynamics & growth raises many concerns• Scale
• Performance (latency, jitter), QoS
• Security
• Affordability
Is the conventional approach scalable?
Essential Cloud Characteristics (NIST)
8
On-demand self-service
Broad network access
Resource pooling• Location independence
Rapid elasticity• Agility = dynamic allocation of IT capabilities
• Responsive = bring resources to bear when needed (and vice versa)
Measured service
Dynamic resource allocation optimizes IT usage to fit fluctuating business cycles.
Bandwidth Agility & Elasticity are Essential
Virtualization creates unpredictable demands on core network• Leverage IT resources wherever & whenever available
• Today: within data center• Tomorrow: across the network
Elasticity creates challenges for underlying network• Cost-effective scaling (capex & opex)• Networking efficiency (idle bandwidth = wasted bandwidth)• Rapid delivery of low-latency bandwidth, when and where needed• Resiliency for protection against failures
Bandwidth agility & elasticity are best addressed through dynamic bandwidth management in transport layer
Requirements for Optimizing Global Connectivity
10 © 2011 Infinera Corporation.
Bandwidth elasticity• Instant, flexible service connectivity, anywhere to anywhere
• 1G to 100GbE
• Readily available optical capacity for on-demand bandwidth
Network flexibility & efficiency • Any service, anywhere, on-demand• Minimal stranded capital
Network simplification & cost optimization• Vertical (multi-layer) convergence & optimization• Horizontal (end-to-end) optimization
Automation for enabling dynamic bandwidth allocation
Bandwidth Elasticity through Virtualization
11© 2011 Infinera Corporation.
What is Virtualization?
Example: Server Virtualization
Generic PCs Digital logic Software
Cluster computer
Many applications can share the same pool of resources seamlessly,
enabling more efficient resource utilization.
Bandwidth Virtualization:
Shareable Cloud Bandwidth
DWDM WavesDigital logic(Digital Switching) Software
Services see: Pool of reliable, reusable, “colorless” bandwidth
Digital Optical Network
Bandwidth Virtualization:
Decoupling Services and Transmission
200G available 165G available
150G available80G available
Bandwidth Virtualization
40GbE
100GbE
110G available40G available
100G available 65G available
100Gb/10Gb/
Optical Wavelength Agnostic Services Layer
Bandwidth VirtualizationLayer
OpticalCloud SwitchingLayer
•Any service speed over any optical infrastructure •Enables rapid digital service delivery & on-demand reconfigurability
Digital switchingDWDM Waves Software
Dynamic Pool of Bandwidth
Benefits of Bandwidth Virtualization
Without Bandwidth Virtualization, Capacity becomes “stranded”
With Bandwidth Virtualization
• Muxponder inefficiency strands sub-λ bandwidth
• Bandwidth management allows full capacity to be used for services
Used capacity
Constrained capacity
Flexible capacity
Bandwidth Management Enhances Network Efficiency & Responsiveness
Service demand
• Wavelength Blocking strands wavelengths on spans
Colorless BW
Service demand
• Wavelength conversion at every node
Implications of Bandwidth Virtualization
Optical layer can be designed & optimized for best economics• Design each network link for optimal reach + capacity
• Eliminate over-engineering
Bandwidth Virtualization abstraction optimizes utilization of network assets• Pooled wavelength capacity as a shared resource can be utilized by any
service
• Investment protection for deployed infrastructure• 100GbE, 400GbE, 1TbE service readiness
Manage circuits & services, not wavelengths• Per-circuit provisioning, redirection, protection/QoS
• Dynamically allocated bandwidth for services faciliates bandwidth on demand
Network Flexibility & Efficiency through Digital Optical Networks
17© 2011 Infinera Corporation.
Nodal bandwidth management can generally be achieved through:• Optical re-direction (1 or more wavelengths)
• Digital switching (converts optical bandwidth into digital domain before switching)
Key Issue: what size circuits am I delivering?
Network Flexibility Approaches
18 © 2011 Infinera Corporation.
• 2 degree PLC• Multi-degree WSS• CDC ROADM (Colorless,
Directionless, Contentionless)
• Digital ROADM• OXC• Digital/optical hybrid
All-optical approaches Digital Approaches
Conventional DWDM ROADM Architecture
19 © 2011 Infinera Corporation.
New services are added optically
Wavelength capacity is constrained between 2 endpoints
Trans-mission
Fiber
Dispersion
comp.
(R)OADMN-stage
Filter or WSS
10G
40G
100G
Amp
Transponders or
Muxponders
4-Degree ROADM
Traditional ROADMs create complexity
West East North South
. . . 1 2 39 40
. . . 1 2 39 40
. . . 1 2 39 40
. . . 1 2 39 40
Requires: • Splitter/WSS for every degree• Physical cabling between cards• Physical changes to change
channels• Expensive to create true
flexibility of• Colorless • Directionless &• Contentionless (if available)
The complexity of Optical ROADM’s require optical paths from every point that needs optical flexibility,
requiring, in some cases, over 100+ fiber connections
Traditional ROADMs also lack flexibility
21 © 2011 Infinera Corporation.
Node Constraints
• Transponders tied to a specific direction and color
• Cannot support 25 GHz
• Prevents dynamic reconfigurability or restoration
O-E-O
O-E-O
O-E-O
O-E-O
O-E-O
O-E-O
O-E-O
O-E-O
Operational Issues
• Path computation tied to optical validation - not scalable
• Long protection / restoration paths not guaranteed
• Trouble shooting toolkit is limited ?
Wavelength Blocking
• Service provisioning needs same unused wavelength in all links
• 20-25% capacity stranding in medium sized networks (12-15 nodes)
Muxponder Inefficiency
• Stranded BW for sub- services (unless all services have same A-Z path)
• Problem gets worse for 40G line rate with mixed 1G/2.5G/10G services
All-optical ROADM is an automated patch panel - not a dynamically reconfigurable system
Muxponder Inefficiency:
Static Muxponders = Stranded Capital
22 © 2011 Infinera Corporation.
Location C
10x10GbE 100G
Location A
Location B
2x10GbE
2x10GbE
1x10GbE
1x10GbE
Netw
ork
Span
Constrained Capacity
Remaining capacity locked into pre-determined A-Z endpoints
100G
10
0G
ROADMNetwork
Digital ROADMs offer flexibility & economies
23 © 2011 Infinera Corporation.
Use (analog) photonics for what it does best: transmission
Use (digital) electronics for everything else – more functionality / lower cost
Digital Electronics& Software
Sub- add/dropSub- Grooming & switching Multi-Service MultiplexingProtectionSignal regenerationError correctionPerformance monitoring
Integrated
Ph
oto
nics
Integrated
Ph
oto
nics
optical (analog) electrical (digital) optical (analog)
Digital Optical Networking integrates ROADM
24 © 2011 Infinera Corporation.
ROADM functionality built-in
Further enhanced with sub-grooming & switching
Automated configuration up to 8 degree’s
Integrated Colorless, Directionless & Contentionless
Eliminates multiple points of failure associated with cables & manual process
The simplicity of Digital ROADM’s enable the switching of optical paths form any point in the network, without fiber connections or expensive components.
Digital ROADM’s do not preclude optical express
Digital ROADM
OCG (multi-λ) Optical Express
Local add/dropAny service 155M - 100G
Digital Bandwidth Management
• Optical Express for cost-effective trunks
• Flexible Digital ROADM
Optical Express transmits groups of λs
Digital ROADM drops any service as needed
Provides ultimate flexibility and simplicity
Eliminates complexity of traditional ROADM
Lowering Cost & Complexity with Digital ROADM’s
26 © 2011 Infinera Corporation.
93% fiber connections reduction
Eliminates costly WSS & AWG line modules
40-60% CAPEX reduction per ROADM node
Nationwide Network Modeling Summary
27 © 2011 Infinera Corporation.
100
90
80
70
60
50
40
30
20
10Dep
loye
d C
apac
ity
(%)
Rev
enu
e G
ener
atin
g (%
)100
90
80
70
60
50
40
30
20
10
100GMuxponder
50%
40GMuxponder
66%
DigitalROADM
92%
• Large N. Am. Network Model: 33,084 route km, 47 core WDM links• About 10 Tb/s of customer service demands (network traffic volume)
Digital Optical Networks improve ROADMs
28 © 2011 Infinera Corporation.
Digital ROADM’s offer maximum flexibility• Colorless – any wave to any color• Directionless – any wave to any degree• Contentionless – any wave re-use without contention
Digital ROADM enable management at the circuit level for maximum flexibility & efficiency• Pre-deploy affordable bandwidth blocks & relegate dynamic
reconfigurability to digital domain at the circuit level
To achieve optimum flexibility & efficiency, Digital Optical Networks are a proven best practice
Network Simplification & Cost Optimization
29© 2011 Infinera Corporation.
The Network Must Optimize Total Network Costs
• Scale net usable bandwidth• Maximize network ability to deliver BW services (ie, switching)• Minimize $/Gb (w/ switching)
• Increase Automation for scalability
• Optimize Space, Power• Minimize MTTR
ReduceOPEX
• Migrate packet transport to optical layer
• Converge DWDM & Packet/Circuit transport
OptimizeL0-L3 Cost
Scalable Optical
Infrastructure
Optimize TCO
Minimal End-to-end Cost
Optical Networking Evolution
WDM + OTN Convergence
Integration of: Scalable capacity (WDM) Bandwidth Management (OTN) Automation/Intelligence (GMPLS)
Converge WDM + switching• Integrated L0 – L1
Transport cost savings Digital “ease-of-use” Unconstrained bandwidth Bandwidth efficiency
DWDM
OTN
Packet
Integrated
WDM +
OTN +
GMPLS
Optical Networking Evolution
P-OTN Convergence
Integration of: Scalable capacity (WDM) Bandwidth Management (OTN) Automation/Intelligence (GMPLS) Packet Switching
Converge Packet + transport • Integrated L0 – L2.5
Total Network cost savings Further expand service simplicity
& network efficiency
Integrated
WDM +
OTN +
GMPLS
Packet
Integrated
Packet +
WDM +
OTN +
GMPLS
Digitally Switched WDM
Back-to-back Transponder Elimination
muxponder trib
End-to-end CapEx Streamlining Opportunities
33 © 2011 Infinera Corporation.
Residual stranded bandwidth from constrained point-to-point delivery schemes must be considered
Integrated WDM + Switching creates E2E circuit cost reduction opportunities
Metro Core Subsea
$$$Conventional
ROADM
muxponderManual Back-to-back
MuxpndrManual Back-to-back
Muxpndr
$$$Conventional
ROADM
Swit
ch
muxponder
Swit
ch
xpnder
Eco
no
mic
Via
bili
ty
$$$
$
Automation for Enabling Dynamic Bandwidth
34© 2011 Infinera Corporation.
Controlling the network can no longer be a manual process
Auomationvia Intelligent Network Control Plane is essential
1. Automated network discovery
• Facilitates plug-and-play transport networking
• Reduces inconsistencies between network & OSS
2. Automated service delivery & bandwidth management
• Dynamic end-to-end circuit routing & provisioning
3. Dynamically (re)configurable transport capacity for CapEx & OpEx reduction opportunities
4. Integrated protection & restoration
Automation is not OPTIONAL, rather essential for OpEx & CapEx cost reductions
36 © 2011 Infinera Corporation.
GMPLS Enables Scalable Network Automation
Topology Auto-Discovery
Restoration
Auto-Provisioning
Network automation Advanced services
• Network & resource discovery
• Dynamic service provisioning
• Automated Bandwidth accounting
• 50ms protection & GMPLS Restoration
• Dynamic bandwidth services (UNI based)
• Optical VPNs
Connection request• BW = 1Gb/s• Dest = Z
Dynamic Circuit Provisioning creates point-n-click process
GMPLS RSVP-TE enables robust dynamic circuit creation & deletion
• Automates allocation of capacity & assignment of crossconnects along circuit route
• Crossconnects correlated via circuit identifier
Robust signaling protocol employed for automated provisioning of Sub-network Connection (SNC)
• Handles failure modes & crank-back situations
• Circuit path information stored & retrievable at endpoint
• Native client signal PM monitored at SNC endpoints
LocalEndpoint
RemoteEndpoint
RESV RESV
PATH PATH
1. Compute best route
2. Initiate signaling request
3. Notify OS
GMPLS benefits
38 © 2011 Infinera Corporation.
• Flexibly reconfigurable link capacity enables multiple circuits to time-share bandwidth
• Example: spot bandwidth for large data moves
Dynamic reallocation of digital capacity
• Scales with network growth, mitigates human errors
• Reduces Time to Revenue
• Improves service up-time with dynamic restoration
OpEx optimization through automation
• GMPLS UNI & open APIs for capacity delivery in realtime
• Adaptive to unexpected traffic changes or demands
High capacity bandwidth-on-demand
Summary
What I want you to take away today
39 © 2011 Infinera Corporation.
Bandwidth elasticity is paramount to deliver services cost effectively wherever and whenever needed• Service-ready bandwidth is essential
Network flexibility must adapt in real-time to changing requirements, while optimizing efficiencies & minimizing cost
Automation is mandatory to ensure a long term sustainable & scalable OpEx model