TowardsNetwork 3.0 - NAMEX · What Academy really stand for? Akademos: outside the city wall of...
Transcript of TowardsNetwork 3.0 - NAMEX · What Academy really stand for? Akademos: outside the city wall of...
Towards Network 3.0 ?
Christoph Glingener
November 2017
NAMEX Academy
What Academy really stand for?
Akademos:Akademos: outside the city wall of Athens (387 BC)
Was the practice of bringing a number of intellectuals in a field to give talks
on their research allowing for a wider audience to be exposed to their ideas
Groups could have diverse and sometimes conflicting goals
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Keep an open mind, learn and adapt yourself
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Our HistoryGoing global
• Expansion in North America• Revenue >USD 250 millionGoing public
• FSE: ADV
Foundation of the company
1994 1999 2000 2006 2010 2013 2016 2020
Scaling the business
• >1500 employees• Revenue >USD 500 million• Award winning supply chain
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Adding Ethernet
• First fiber-based Ethernet services
Strategic acquisitions
• Synchronisation• Software and virtualization
Open connectivity solutions for a connected world
Portfolio expansion
• Optical+Ethernet • Network automation
First product
• Metro-WDM for enterprise DCI
1
Towards Network 3.0 ?
Evolution of Connectivity Infrastructure
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2
3
Underlying Key Technologies
Virtualization – SDN & NFV
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Evolution of Connectivity Infrastructure
The Big Influences … Connectivity Drivers & Technologies
Exp
ect
atio
ns
Autonomous Vehicles
BlockchainCognitive Computing
Connectivity Drivers
Plateau in :
2 to 5 years
5 to 10 years
> 10 years
Connected Home
IoT Platform
Quantum Technologies
Serverless
Digital Twin
Smart Robots
Smart Workspace
Machine Learning
Edge Computing
Nanotube Electronics
Open Source
Open Platform, Disagg, White Boxes/Technologies
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Exp
ect
atio
ns
Time
TechnologyTrigger
Peak of InflatedExpectiations
Plateau ofProductivity
Slope of EnlightenmentTrough ofDisillusionment
Based on Gartner Hype Cyclefor emerging technologies
July 2017
Virtual Reality
AugmentedReality
Artificial GeneralIntelligence
Human Augmentation
Smart Dust
ServerlessPaaS
Software-DefinedSecurity
5G
SDN
NFV
Cloud 3.0
EO - ICs
The Big Influences … Politics
OTT/Net Neutrality
Unbundling
Missed Connectivity Targets
Security !
Synchronization !
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Synchronization !Min. 100 µs timing accuracy
The Big Vision
Public CloudsPrivate Clouds
Traditional Applications Cloud Applications SaaSDevices
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Internet ContentProvider
Public CloudsPrivate Clouds
Enterprise Hosting/IXP
Communication Service Provider
Network
Sources : ADVA, VMWare
Cloud 1.0 Cloud 2.0
Towards Cloud 3.0
Cloud 3.0
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Virtualization inEnterprise DCs
Based on : Google
Big DataVMsMiddle BoxesPlacement/Load Balancing/
SchedulingData Processing
Public CloudIaaS
Big ComputeApplicationsPolicyService Level ObjectiveActionable IntelligenceStorage DisaggreagtionSeamless TelemetryOpen Marketplace
AI for AllPaaS
Towards Network 3.0
Network 1.0
OTT Services
Network 2.0
Explosion of service typesVPNs delivered by overlay
Network 3.0
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Dedicated Service Infrastructure
Physical Appliances / Switches
Physical Paths (incl. SDH/ATM)
Packet Services
Mobile drives growth
Appliances proliferate
TE/QoS
IPoOTN/WDM
Virtual Services
Cloud drives growth
Services are Apps
Network (incl. WDM) is dynamic transport (SDN)
Distributed Datacenters …
Scaling
Hyperscale DCs
Access/Edge Enterprise Co-location / CSPs Webscale / Hyperscale0 -> Infinite Massive, growing > 2000 Colo, >3000 CSP, growing >600, growing
X
Enterprise
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Scaling
Metro-regional clusters
CORDM-CORD (Mobile)E-CORD (Enterprise)
CSPs - COs
VirtualizationMEC / FOG
X
… enable Distributed Compute
• ETSI based standardisation with wide operator and vendor support• Founding members include Vodafone, Docomo, Nokia, Huawei, Intel, IBM, …• Initially „Mobile Edge Computing“• Pushing compute towards small cells, WiFi, Media Gateways, End Devices• Applications : Connected gaming, connected car, industry automation, content delivery/manipulation
ETSI MEC (Multi-Access Edge Computing)
OpenFog Consortium
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• IoT oriented, moving functionality to the edge• Founding members include Cisco, ARM, Dell, Microsoft, Princeton University• Distributed compute, storage and networking anywhere
OpenFog Consortium
• API and application development• Verizon, Vodafone, Intel, Nokia, Huawei, Crown Castle, Carnegie Mellon
Open Edge Computing
Access and Backhaul driven by Mobile Requirements
User
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Cable“Analog Fiber”
Fiber Node
CoaxCMTS
AnalogTV
Analog TX
Analog OpticalTransmissionDOCSIS
Distribution HubsCoax
Distr-butedCCAP
RPD
10 Gb/s
DWDM
Core
D-Hub
Cable“Digital Fiber” Headend
>100 Gb/s >1 Tb/s
Access and Backhaul driven by Mobile Requirements
User
Copper (yes, it still exists …)
DSLAMCopperCMTS
Ethernet, xWDM DWDM
FTTX / PON Splitter
CMTSxPON or Ptp DWDM
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Distribution HubsCoax
Distr-butedCCAP
RPD
10 Gb/s
DWDM
Core
D-Hub
Cable“Digital Fiber” Headend
>100 Gb/s >1 Tb/s
DSLAMCopperCMTS
AnalogTV
Metro
Ethernet, xWDM
xDSL … G.Fast
DWDM
1 .. Nx10 Gb/s100 Gb/s … > 1Tb/s1 … 10/25 Gb/s
CMTS
AnalogTV
Metro
DWDM
Nx10/25 Gb/s 100 Gb/s … > 1Tb/s
Access and Backhaul driven by Mobile Requirements
FTTX / PON Splitter
CMTSxPON or Ptp DWDM
User MobileBBU
CMTS
AnalogTV
Metro
Aggregation Core
10 … 25 Gb/s
Mobile Overlay
SC/RRH
CMTS
AnalogTV
Metro
DWDM
> 100 Gb/s 100 Gb/s … > 1Tb/s
vBBU vEPC
Ethernet … eCPRI… NGFI … TSN
SDN/NFV… MEC
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Distribution HubsCoax
Distr-butedCCAP
RPD
10 Gb/s
DWDM
Core
D-Hub
Cable“Digital Fiber” Headend
>100 Gb/s >1 Tb/s
1 … 10/25 Gb/s
CMTS
AnalogTV
Metro
DWDM
Nx10/25 Gb/s 100 Gb/s … > 1Tb/s
Access and Backhaul driven by Mobile Requirements
FTTX / PON Splitter
CMTSxPON or Ptp DWDM
User
10 … 25 Gb/s
Mobile Overlay
SC/RRH
CMTS
AnalogTV
Metro
DWDM
> 100 Gb/s 100 Gb/s … > 1Tb/s
vBBU vEPC
Ethernet … eCPRI… NGFI … TSN
SDN/NFV… MEC
ManageabilitySDN/NFV/xaaS
ScalabilityEdge Datacenters
Security
Requirements
Use Case Latency Bandwidth Device density Mobility
Fatory automation 0,25 … 10 ms 3…100 KB/s 0,33 … 3 devices/m2 < 30 km/h
Process automation 50 … 100 ms 0,02 … 1 KB/s 10000 devices/plant < 5 km/h
Smart grids 3 … 20 ms 1 … 100 KB/s 10 … 2000 devices/km2 0
Road safety urban 10 … 100 ms < 5 KB/s 3000 devices/km2 < 100 km/h
Level Time error Application
1 500 ms Billing, alarms
2 100 µs IP delay monitoring
3 5 µs LTE TDD (large cell)
4 1,5 µs LTE TDD (small cell)
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Distribution HubsCoax
Distr-butedCCAP
RPD
10 Gb/s
DWDM
Core
D-Hub
Cable“Digital Fiber” Headend
>100 Gb/s >1 Tb/s
1 … 10/25 Gb/s
CMTS
AnalogTV
Metro
DWDM
Nx10/25 Gb/s 100 Gb/s … > 1Tb/s
Synchronization (e2e)1,5 µs … 500 ns … 65 ns
Latency (e2e)100 … 20 … 1 ms
BandwidthAccess : 1 … 10 …25 Gb/sAggregation : > 100 Gb/s
Metro : 0,1 … > 1Tb/s
Road safety urban 10 … 100 ms < 5 KB/s 3000 devices/km2 < 100 km/h
Road safety highway 10 … 100 ms < 5 kB/s 500 devices/km2 < 500 km/h
Urban intersection < 100 ms 1 MB/s per car 3000 devices/km2 < 50 km/h
Traffic efficiency < 100 ms 1 KB/s 3000 devices/km2 < 500 km/h
Professional audio 2 ms … 2 MB/s Up to 1 device/m2 < 5 km/h
IoT Applications, Source : IEEE Communications Magazine
4 1,5 µs LTE TDD (small cell)
5 1 µs Wimax-TDD
6 500 ns LTE-A
6A 260 ns Non-contiguous carrier aggregation
6B 130 ns Contiguous carrier aggregation
6C 65 ns MIMO, TX diversity
E2e synchronization requirements, ITU G.8271
Evolution of Services Driving new Opportunities
Web 3.0individualized, intelligent
Web 2.0Interactive
Web 1.0static, read-only
Private / Web
Big ComputeApplication driven, xaaS
Big DataHybrid Clouds, VMs
Virtualization in Enterprise DCsstatic, read-only
Enterprises
Connectivity
BandwidthSecure DCISecure cloud accessxaaS
BandwidthSecurity
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static, read-only static, read-onlyConnectivityServices
5Gmore than mobile !
virtualized, distributed …
4GExtended úse cases
4G / 5G
BandwidthSync(aaS)SecurityMECxaaS ?
Explosion of Devicesand use cases
IoT
ScalabilityLatencySecurityFog ComputingxaaS ?
The Future of Connectivity
Orc
hes
trat
eA
nal
ytic
s to
AI
Dis
agre
gat
eO
pen A
PIs
Virtualize Everything : Networking & Services
Cloud Extension
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ICPEnterprise Hosting/IXPCSP
Auto
mat
e/O
rches
trat
efr
om
Anal
ytic
s
Dis
agre
gat
eO
pen A
PIs
Flexible Bandwidth (L1 … L3-)Enabling/Assuring Security, Latency, Sync, …
CloudInterconnect
CloudAccess
Enable/Provide Distributed DCs, XaaS …
Virtualize Everything : Networking & Services
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Underlying Key Technologies
How do we do this? Connectivity …
Cell Site 1st Mile 2nd Mile Aggregation Cor
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WD
MO
TN
400G … 1T 3,2T … x00T
SH OLS LH OLS 600G/l10G/l
L2+
Cell Site 1 Mile 2 Mile Aggregation Cor
Ass
ura
nce
How do we do this? Capacity over Fiber …
• Capacity x Reach is saturating• What is next ?
Transponder Evolution Cost proportional to Power ?
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Source : Google, 2017 Source : ADVA
How do we do this? Components,Infrastructure…Silicon, Compute
CPU (multi-core)GPUMerchant x nm
xPU (specialized)FPGAMerchant
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7 nm2018+
MerchantFPGA
16+ nm<2017 ASIC
MerchantFPGA
x nm2,5D/3D/HBM2021+
How do we do this? Components,Infrastructure…Silicon, Compute
CPU (multi-core)GPUMerchant x nm
xPU (specialized)FPGAMerchant
Photonics, PICs, OEICs
2019
QSFP-DD(OSFP)
400G ZR (80km)
COBO
30% 70%
Source : Acacia, 2017
Limits: IO, Power Density / Heat Dissipation
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7 nm2018+
MerchantFPGA
16+ nm<2017 ASIC
MerchantFPGA
x nm2,5D/3D/HBM2021+
SFP+ 10G2006
QSFP/CFP 40/100G2011
QSFP28 100G2016
Limits: IO, Power Density / Heat Dissipation
How do we do this? Components,Infrastructure …Silicon Photonics, OE Integration
• Make OE-ICs easy to manufature and integrate
Pluggable Aggregation
MicroMux™ nx100G MegaMux™
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• Liquid Cooling
Concepts & Prototype
Advanced CoolingPluggable DCO Modules
CFP2-DCO
400G-ZR
DCI is Moving to Coherent
400G ZR Project
• Single carrier digital coherent 400G• Single channel ZR applications• DWDM applications up to 120km • PMD compatible with 400G-AUI.• Other formats could also be considered
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3.6Tb/s in 1 Rack Unit600Gb/s per l
• Other formats could also be considered• Target: pluggable modules
DCI: Data Center Interconnect
• Key parameters: constellation & baud rate
• Key impairments: receive OSNR & spectral shaping due to ROADM cascades
Next Generation Transmission Formats
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Preliminary
How do we do this? Disaggregation and White Boxes …
Disaggregation of Line Systems
Open Line SystemOpen Line System
APIAPI API
APIAPI APIAPI
Dis
gg
reg
ate
d
Disaggregation of HE/SW, WB
SW(Connector)
Need the „Integration of Disaggregation“ ?
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Open Line SystemOpen Line System
Ag
gre
gate
d
End to End System
API
…
Dis
gg
reg
ate
d
WB HW
Need the „Integration of Disaggregation“ ?
How do we do this? Disaggregation and White Boxes …
OTN O-LEAFTIP
TIP Transport TIP vRAN Disaggregated, scalable white box OTN-XC
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Cloud OS on White Box SwitchesLow cost plugable & Edge Devices
Soho/SMB uCPE
How do we do this? End-to-end Synchronization …
Ass
ura
nce
Syn
c Cell Site 1st Mile 2nd Mile Aggregation CorCell Site 1st Mile 2nd Mile Aggregation Core
Virtu
al
Virtual Sync Delivery and Assurance
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GMSlave
Optical Timing ChannelOTN Delay OptimizationCSG/Aggregationintegr. Edge GM
L1/2
Syn
cA
ssura
nce
Ded
icat
ed
Syn
c Cell Site 1 Mile 2 Mile Aggregation CorCell Site 1 Mile 2 Mile Aggregation Core
ePRC / ePRTCPTP GMPTP GM
How do we do this? Security …
E2E ServicesV
irtu
al
Secure Cloud Access
Co
mm
on S
ecu
rity
Mg
mt
Cert
ified
So
lutio
ns
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OTN
Physical Connectivity
MA
C+
E2E Services
Co
mm
on S
ecu
rity
Cert
ified
So
lutio
ns
How do we do this? Quantum-Safe Cryptography
Quantum-Safe Cryptography
• Combine
• Computational security
• Quantum Resistant Algorithm (QRA)
• Information theoretic security
• Quantum Key Distribution (QKD)
• Available soon ?
• All currentpublic-key
Quantum Computer
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AESPublic channel
Secret key
Alice Bob
DH DH
NR NRQuantum-safe
QKD QKD
Uncond. Security, add. HW
+Established
+
AES
Secret key
• Quantum Key Distribution (QKD)public-keycryptographyuseless?
• Decrypt storeddata?
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Virtualization – SDN and NFV
How do we do this? Virtualization & Automation …
NFV
NFVI
NFV MANO NFV MANO
Multi-Domain, Multi-VendorEMS/NMS
Cloud SDN Control
Cloud Orchestration and Automation
Clo
ud
To
uch
In
tend
-base
dTele
met
rie
AI/
ML
Analy
tics
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L1/2
L3SD
N
IP Domain Controller
Transport Abstraction
Multi-Domain, Multi-Vendor
SDN Control and Orchestration
DC Orchestration
Cloud SDN Control
Zero
-To
uch
st
ream
ing
Tele
met
rie
AI/
ML
Analy
tics
How do we do this? Automation – From Structure to Chaos
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„The Open Platform War is like a modern Denial-Of-Service Attack“Daniel King, ODC
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Software Defined Networking
Heavy Reading‘s Carrier SDN Service Provider Perspectives
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Automated Multi Layer SDN for faster Service Deployment
Cloud-based hosting services require real-time connections
Self-provided bandwidth services
but
Service Requirements
Key Driver #1: Operational Efficiency
B A C DNMSOSS
Activation
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but
NMS islands with manual cross-domain co-ordination
Time-consuming planning, activation and assurance processes
Service innovation requires automated connectivity life-cycle management
Layered architecture featuring open interfaces and automated control
Technology specific domain controllers and overarching multi-domain
Multi-Layer SDN Solution
Key Driver #2: Open, Separated, Standardized
SDN Domain Controllers
Orchestrator, Multi-Domain SDN Controller
Common T-API
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and overarching multi-domain orchestration
Resource discovery by topology services, activation by connectivity service
Multi-domain, multi-layer control featuring open interfaces
Key Driver #3: New Service Opportunities
EnablersSDN
NMS / CP / SDNNMS / CP / SDN
Tenant B cloud
Tenant C cloudTenant A cloud
DC Connectivity
Cloud Bursting
Secure Multi-Tenancy
Abstraction
Virtualization
Open APIs
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DC Site 1DC Site 1
MAN / WANMAN / WAN
DC Site NDC Site NEnterpriseEnterprise
Secure Multi-Tenancy
Multi-Layer Optimization
Optical VPN
Open APIs
1TB Data Transfer
Speed Duration
10G 15 min
1G 2.5h
100M 1 day
Transport SDN turns the Transport Network into a programmable Resource
Control Layer
Transport SDN ArchitectureApplication
Layer
NBI / APIs
Cloud Orchestrator
Network Orchestrator
StorageCompute
Parent Controller
• Diverse applications• Planning, optimization, services,
etc.
• Common framework‐
Common APIs
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DomainController
DomainController
DomainController
Infrastructure Layer
SBI
Domain 1 Domain 2 Domain 3
NE NE NE NE NE NE NE NE NE
• Common framework• Multi‐vendor NW SW
• Routing, Resiliency
• Standard, programmatic interfaces across layers
• Open/common device data models
Standard Interfaces
Open Platform
SDN APIs
• Inventory reporting Hardware, Services, Topology
• Inventory reporting Hardware, Services, Topology
CSV
• Full configuration and monitoring
• Fault Reporting (via web sockets)
• Full configuration and monitoring
• Fault Reporting (via web sockets)
REST
• Fault reporting (Traps)
• PM retrieval (limited)
• Fault reporting (Traps)
• PM retrieval (limited)
SNMP
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Hardware, Services, Topology
• Fault Reporting
• Performance monitoring
Hardware, Services, Topology
• Fault Reporting
• Performance monitoring
• Inventory reporting
• Service/traffic configuration
• Performance Monitoring
• Inventory reporting
• Service/traffic configuration
• Performance Monitoring
XML (MTOSI)
• Full configuration and monitoring
• Notifications
• Full configuration and monitoring
• Notifications
NETCONF
• Full configuration and monitoring
• Notifications
• Full configuration and monitoring
• Notifications
RESTCONF
• Focus on IP / Optical Interworking• Representation for path computation• Generic topology (TE topology)• Has to be augmented for specific devices
• WSON• Flexi-grid
• Supports overlays (virtual networks) and SRLGs
• Focus on Transport Networks• Services
• Topology discovery• Connectivity management• Path computation• Virtual networks• Notifications
• Interface between hierarchical controllers
IETF TEAS TE Topology
YANG Data Models
ONF Transport-API
Netw
ork
Sco
pe
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• Device configuration• Variety of technologies• Partially disagregatied model• No topology view• Good performance monitoring• Strong consortium of operators and
service providers
• Focusing on ROADMs• Detailed equipment model• Topology modeled• Path computation and wavelength
assignment• Flexi-grid currently not supported• Vendor-driven consortium
• Interface between hierarchical controllers
AT&T OpenROADMGoogle OpenConfig
Deci
veSc
op
e • Focus on Device Scope• Large SDO support:
ITU-T G.874.1/G.8052, BBF, MEF, IEEE, IETF
• Extension for technogy specific applications
ONF Core Model
Aggregated and Disaggregated NetworksA
gg
reg
ated
Fully Aggregated: Entire transport network acts as a single managed system
End to End System
APIFSP Network Hypervisor
Transponder TransponderTerminal ILA ROADM Terminal
IETF TEAS TE Topology
ONF Transport-API
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Fully Disaggregated: Everything is a separate network element
Partly Disaggregated: Transponder is one element, Open Line System (OLS) is second
Degrees
Open Line SystemOpen Line SystemDis
agg
reg
ated
APIAPI API
APIAPIAPI API API APIAT&T OpenROADM
Google OpenConfig
ONF Core Model
ONF Core Model
How do we do this? Recent SDN examples …
Commercial• Juniper NorthStar
• IETF API, Product version• Cisco NSO/WAE
• IETF API, Product version• NEC NetCracker
• ONF T-API, 2016 OIF interop• Ciena BluePlanet
SDN Controller Integration Telefonica Lab, July 2017
Optical Controller
Network Hypervisor
Optical Controller
Transport API
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• Ciena BluePlanet• ONF T-API, 2016 OIF interop
• Sedona Orchestrator• ONF T-API, Demo version, OFC 2016
Open Source• OpenDaylight
• ONF CoreModel, ONF 4th WTP PoC 2017• ONOS
• ONF T-API 2.0, OFC 2017, TNC 2017
Controller HypervisorController
How do we do this? Virtualization & Automation …
• Application request defined as an intent• Translated to provisioning request @ rel. layer
Intend-based Orchestration ADVAlytics AI/ML Demo
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Network Hypervisor
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Network Function Virtualization
What Is Network Functions Virtualization (NFV)?
NFV brings the power of the cloud to telecom.
It enables users to replace closed appliances with their choice of software that can be hosted anywhere on their choice of hardware.
© 2018 ADVA Optical Networking. All rights reserved. Confidential.4848
For success, we need change in 3 areas:
Zero Touch CommissioningSecurity and EncryptionManagement and UpgradesService AssuranceEmbedded Cloud
Flexible Networking at Layers 2 and 3Performance at CostScalability – Up and DownHardware Agnostic Universal CPE
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Core technology is proven but challenges still remain in these key areas
OrganizationalBehavior
Multi-Vendor EcosystemsAgility and DevOpsFocus on speed and innovation
PublicCloud
#1
PublicCloud
What is needed? Virtual Networking
SD-WAN
Key:•• L2 Encryption OnlyL2 Encryption Only• L2 Encryption + Tunnel
On-NetBranch
HQ
•• L3 Encryption OnlyL3 Encryption Only• L3 Encryption + Tunnel
CEL2VPN
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PrivateCloud
Cloud#2
SD-WANHybrid WAN
HybridBranch
Off-NetBranch
Branch
Public Internet
IP-VPN(MPLS)
What is needed? Cost, Scalability & Performance!
Pick the best deployment option for the application
Har
dw
are in
dep
end
ence
, p
ort
abili
ty a
nd
sca
lab
ility
Pure software(x86 or ARM)
Small uCPE SW & DPDK(x86 or ARM)
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Har
dw
are in
dep
end
ence
, p
ort
abili
ty a
nd
sca
lab
ility
Performance Requirements (Throughput, Latency, etc.) and Cost
(x86 or ARM)
Large uCPE SW & SR-IOV
Data center Hybrid NIDSmart NIC
MEC, CORD
What is needed? Multi-Vendor Ecosystems
Operators and end-customers want ability to choose the appropriate vendor to meet their requirements
Insistence on different suppliers at each layer – no vendor lock-in
Requires cooperation between operator,
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Requires cooperation between operator, suppliers AND customer
Raises importance of open, standard interfaces
Business case has to work for EVERYONE
Drawbacks of Current Approach
• Enterprise and residential services typically deployed on proprietary appliance-based solutions
• Cost considerations – CAPEX and OPEX
• Time to market, Lack of subscriber control
Benefits of uCPE
Key Use Case: Universal CPE (uCPE)
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• Choice and flexibility of hardware (COTS) and software (VNFs)
• App Store model
• Rapid deployment & provisioning (ZTP)
• Bring Your Own Hardware
• Customer Control
• PaaS “Sandbox”
uCPE delivers on the promise of edge computing and edge virtualization
Drivers for SD-WAN
• Enterprises seek to reduce costs and increase control over network connectivity flexibility
• MPLS
• Low-cost Internet
• Wireless (3G/LTE)
CSPs can offer SD-WAN as a hosted managed service
Key Use Case: SD-WAN / SmartWANService Provider
HQ
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CSPs can offer SD-WAN as a hosted managed service
• Supporting a variety of leading SD-WAN software vendors
Benefits of SmartWAN
Improved deployability via zero-touch integration
Best of breed VNFs in conjunction with SD-WAN
Common management framework for SD-WAN and other services
Future advanced networking embedded within Connector
Service Providers offer variety of managed networking options giving enterprises choice
BranchBranch
MPLS LTE Internet
Drivers for Cloud Connectivity
• CSP and Cloud Providers offer a variety of XaaS solutions
• Enabling enterprise content and apps migration into the cloud
• Traditionally solved with expensive and complex hardware solutions
Benefits of a Virtualized Solution
Cloud-Based Endpoints for multiple public cloud environments, appliance option
Key Use Case: Secure Cloud Connectivity
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Cloud-Based Endpoints for multiple public cloud environments, appliance option
Dynamic Encrypted Networking
• Flexible encrypted mesh for policy-based secure VPNs
• Application-aware encryption at L2/L3/L4
Security with uCPE upgrades
Effective Cost Points – beats appliance models
Virtual encryption solution delivers high-performance, flexible secure cloud connectivity
Enterprise Connectivity is in the Dark Ages
Can order service, but you have to wait for connectivity
SP has to send a truck, a person and a box
Key Use Case: Wireless Connectivity
LTE
InitialDataPath
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Leverage Wireless Access for Instant Access
Ship a COTS server to the site
Use LTE and zero touch to turn up service
When wireline connectivity is added, the LTE can be a backup
Wireless connectivity enables providers to deliver services instantly and on demand
WirelineDataPath
How do we do this? NFV Evolution and recent examples …
Virtualization Direction 5G Demo @ BT Labs, June 2017
NativeSD-WAN
IoT Gateway ?Mobile/MEC
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ContainersLow cost GPUs
SecureCloudAccess Encryption
Assurance10G+
µCPEHybrid WANRouting, PolicyAnalytics
NFVIaaSIoT/FoG/MECAnalytics
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The Future ?
… is coming fast !
Thank you
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