sdns and nfv: why operators are investing...
TRANSCRIPT
SDNs and NFV:
Why Operators Are Investing Now
An Infonetics Research webinar co-produced with
Ciena, Fujitsu and Radisys
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Today’s Speakers
Michael Howard
Co-Founder and Principal
Analyst, Carrier Networks
Infonetics Research
Ralph Santitoro
Director of Strategic Market
Development
Fujitsu Network
Communications
Mitch Auster
Senior Director - Product
Marketing
Ciena
Eric Gregory
Director, Product
Management
Radisys
JoAnne Emery
(Moderator)
Event Director
Infonetics Research
Agenda
3
SDN Trends
3
4
Problems and Challenges
New Options and Solutions
Service Provider Deployment Applications
Approaches
Conclusions
Q&A
1
2
3
4
5
6
7
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Infonetics Definition: SDNs Are Subset of Programmable Networks
‣ SDNs enable networking applications to request and
manipulate services provided by the network…
‣ …and allow the network to expose
network state back to the applications
‣ 2 common types of SDNs
• API
• Control plane abstracted
from data plane
Programmable Networks
Network
APIs
SDN “API”
protocols
* IETF SDNP
* ALTO
* OpenFlow
* PCE
* BGP-TE
SDNs
SDN
“Control Plane”
Protocols
© Infonetics Research 2013
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Infonetics View of Carrier Network Architecture ~2020
MBH N.A.
Home
services
Business
VPNs
CDN
Mobile Core
EPC
Cloud
Services
Optical
Transport
MBH Asia
Consumer
Broadband
RAN
Access/
Aggregation
App
Network Control & Map
Centralized Control & Orchestration: Controller of Controllers
Holistic, Global End-to-End View of Network
Distributed
Domain
Controllers
(e.g., OpenFlow)
SDN-optimized
Network Hardware
Servers for
NFV, cloud, etc.
App App
Services Control & Map
Policy input
Control is
distributed
Gather network
and subscriber
behavior
Real-time
analytics
Feedback to
Apps, control,
policy
© Infonetics Research 2013
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Why Service Providers Want SDNs & NFV
Top Drivers
‣ New revenue and operational efficiency drive SDN/NFV
• #1 Service velocity (100%) — quicker time to new revenue
• #2 Simpler provisioning over multi-vendor networks
• #3 Lower OPEX with master view over multi-vendor, multi-layer
• Corollary: Global view and network intelligence means networks
can run hotter — saves CAPEX
• Corollary: Global view and subscriber intelligence means quicker
new services and new revenues
‣ Translation: Need more automation, new paradigm
© Infonetics Research 2013
Strategy to Deploy SDNs
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82% Plan to deploy SDNs in their
existing networks, not just in
greenfield networks
“Hybrid SDN” is critical
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Likely Domains for Deployments
‣ Prioritized list of SDN target domains
• DC-related: intra-DC, inter-DC, cloud services
• Consumer/business services via “virtual CPE”
• Optical transport
• EPC/mobile core, BNG/BRAS, mobile backhaul,
metro aggregation
© Infonetics Research 2013
Contained Domains—Data Centers Are Easy
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‣ Service providers are inspired by DC SDNs as proof of concept
• 3 years of Google resources/investments + Nicira smarts solves
operational problems of data center environment
• SDNs work!
‣ DC is simple contained domain…while service provider
networks are much more complex
• Much bigger challenge / much bigger payoff
‣ SDNs will take time
9 © Infonetics Research 2013
Agenda
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Market trends
3
4
Problems and Challenges
New Options and Solutions
Service Provider Deployment Applications
Sponsor Approaches
Conclusions
Q&A
1
2
3
4
5
6
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Current Network Issues
Manage a bunch of boxes,
from different NE vendors
heterogeneous EMSs,
control planes ...
Embedded service
intelligence in multiple NE
types, of different vintage,
from different vendors
Application service-layer and
networks (mobile, WiFi, fixed
broadband) are all silos
Slow and costly service
innovation, deployment
Constrained service
differentiation
Static, one-size-fits all
network service pricing
Tedious Operations &
Inconsistent, Inefficient
Service Delivery
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PMO
Service Delivery Is Inflexible & Inefficient
Residential
Business
Mobile
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Challenges for WAN Service Providers
Cloud Services
IT
World
WAN Services
Telecoms
World
On Demand Automated
Elastic Programmable
Services
Cloud applications changing how WAN services are used Carrier networks must evolve to support this new reality
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Cloud Services
Short service lifecycle
Automated service activation
Frequent changes (Elastic)
Open and programmable
WAN Services
Long service lifecycle
Manual service activation
Infrequent changes
Proprietary & hard to program
Challenges with Network Programmability
Computing Devices and Cloud Environments vs. Wide Area Networks
Easy to program: Computing Devices and Cloud Environments
• Singular, technology-abstracted programming environments
• Open, standardized, and “de facto” APIs, OSs and development tools
Difficult to program: Wide Area Networks
• Multi-vendor, multi-technology with limited technology-abstraction
• Diversity of protocols, interfaces and APIs for EMSs and network elements
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Telecom Cloud Components
TEMs will need an approach that enables a non-disruptive migration
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Where is the middle
ground?
Where to
start?
‣ Determined to leverage existing hw architectures
‣ Must deliver cost savings to stay in the game
SDN NFV
‣ Determined to follow Enterprise Virtualization Path
‣ High Availability requirements must still be met
Operators desiring improved
financials
Vendors trying to maximize
utilization through automation
IT Infrastructure is not a “drop in” for telecom
Enterprise Cloud ≠ Telecom Cloud
Enterprise Cloud
Less Strict “3 9s”
Reliability Requirements
Some Latency
Homogeneous Transport
(Ethernet)
Single Control Protocol
(OpenFlow)
Controlled Data Center
Operating Environment
Smaller Number of
Warehouse-sized Data Centers
Telecom Cloud
Strict “5 9s”
Reliability Requirement
Low Latency
Heterogeneous Transport
(Optical, Ethernet, Wireless)
Multiple Control Protocols
(OpenFlow, SNMP)
Regulatory Requirements
(NEBS)
Larger Number of Smaller,
Distributed Data Centers
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Agenda
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Market trends
3
4
Problems and Challenges
New Options and Solutions
Service Provider Deployment Applications
Sponsor Approaches
Conclusions
Q&A
1
2
3
4
5
6
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SDN Paradigm & the Power of “Global Views”
‣ Abstraction and
Layering
‣ Openness
‣ Global “Views” &
Explicit Control
‣ Virtualization
‣ Automation &
Orchestration
‣ Better Leverage of
Policy & Analytics
Control Layer
Global Network State/Control
Infrastructure Layer
Application Layer
AP
I
AP
I
AP
I
AP
I
AP
I
Network Virtualization
Global Demand Synthesis
Real-Time
Analytics
+
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PMO
Network Functions Virtualization + SDN Enable Efficient Network Service Delivery
Software-defined
packet-optical metro
Expensive network functions are more
centralized and virtualized on shared high-
performance COTS servers
Data
Center
Residential
Wireless
Enterprise
Aggregate & Express
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Programmable Networks from an SDN Perspective .. like programming devices and cloud applications
In the Southbound direction
Abstracts networking technology/protocol details from NetOS/Controller
Provides vendor-independent programmability of network elements
In the Northbound direction
Provides network programmability (APIs) by software applications
Abstracts networking technology details from the applications
Enables automated, on-demand capabilities just like cloud apps enjoy today
Northbound APIs (network abstraction)
Network OS/Controller
Southbound APIs (technology abstraction)
Network Element
Network Element
EMS
Apps Apps Apps
Web 2.0 APIs for Apps to program
network, e.g., RESTful, JSON, XML
Software adapters for
NetOS/Controller to NE/EMS
protocols, e.g., OpenFlow, SNMP,
NETCONF, TL1, MTOSI (XML)
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Network Element
Apps
Technology Abstraction Multiple layers of abstraction required to make the network programmable
Different Transport Network Technologies
• EoF EoWDM / OTN EoS
• Need “gateways” to convert between different transport technologies
Different Network Layers
• Layer 0/1: Ethernet (EoF), DWDM, OTN, SONET/SDH
• Layer 2/2.5: Ethernet or MPLS-TP
• Layer 3: IP or IP/MPLS
Different NE traffic management implementations
• EAD: 3 CoS, PCP CoS IDs, WFQ scheduler, G.8031/2 or UPSR protection
• Aggregation: 8 CoS, DSCP CoS IDs, 8 DWRR schedulers, G/MPLS protection
• Core: 4 CoS, DSCP CoS IDs, 1 Priority/3 WRR schedulers, G/MPLS protection
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EoF EAD Agg. EoWDM Core EoS EAD Agg.
GW GW GW Layer 0/1 Layer 2/2.5
Layer 3
EoWDM EoWDM Core
Extremely complex to program networks without technology abstraction Impossible
Transitioning to SDN + NFV
OpenFlow
Overlay: Existing network element exposes an SDN
interface to enable centralized control
Hybrid: The network element starts off with a separated in-skin distributed control and
data plane. Control plane moved physically
at a future date.
Traditional: Tight coupling of Control
and Data Plane
A hybrid architecture offers a simple phased approach to network transformation
Data Plane
Control Plane
Data Plane
Control Plane
Control Plane
Control Plane
Data Plane
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Agenda
23
Market trends
3
4
Problems and Challenges
New Options and Solutions
Service Provider Deployment Applications
Sponsor Approaches
Conclusions
Q&A
1
2
3
4
5
6
7
SDN-based Network-as-a-Service
Enterprise A
Resource Broker & Scheduler app.
BWoD Portal app.
Enterprise A
Enterprise B
Cloud Data
Center
SDN Controller
Dynamic
Pricing
e.g. IT-WAN ASM
Maximized profitability through self-serve mass
customization and analytics-based dynamic pricing
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Traffic Steering for Mobile QoE Management
‣ Content delivery protocols (e.g. ABR) work fine when network impairments build slowly
• Use buffer fill on client device to signal server to adjust coding rate
‣ Impairments on mobile networks change too quickly for ABR to handle
‣ Use real-time knowledge of RAN to trigger coding rate change well before client can
• Steer through real-time transcoder
SDN Controller
QoE Manager RAN Traffic
Monitor
ABR feedback loop
Transcoder
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Vision for Network Functions Virtualization (NFV)
Traditional Approach
• Purpose-built network appliances
• Physical install per appliance per site
NFV Approach
COTS servers and storage
Virtualized Network Functions (vNFs)
Set Top Box
Message Router
Firewall DPI
CDN
Tester/QoE monitor
Residential Gateway
Carrier Grade NAT
Session Border Controller
BRAS PE Router S/GGSN
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Packet / Optical Network Equipment
With NFV, network functions no longer fixed in time and space
Service Provider Programmable Networks Using Network Functions Virtualization (NFV)
Virtualized Network Functions (vNFs)
Some network functions (NFs) moved out of NE and run elsewhere in the network
• On COTS blade servers in a data center (or central office)
Optical Transport Network vNFs: Path Computation, Network Defragmentation, etc.
Network Services vNFs: Firewall, IDS/IPS, LTE EPC, Residential Gateway, etc.
Some NFs split between Network Element (NE) and blade server
Part of vNF runs on NE to be “near” forwarding plane to meet performance needs
Part of vNF run on a blade server for scalability and simplified operations
Optical Transport Network
Network Services
NFs
NFs NFs
NFs
NFs
NFs
NFs
NFs
NFs
NFs NFs
NFs
NFs
NFs
NFs
vNF vNF vNF
vNF vNF vNF
vNF
vNF
vNF vNF vNF
vNF vNF vNF vNF
Blade Servers
vNF
vNF vNF vNF vNF
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Application Transformation Site Router
Site Router
Data Plane • Implemented on NPU ATCA Blade
• Application Virtualization
Routing & Load Balancing
Step 1: Absorb Edge Router into Wireless Gateway
Step 2: Split Control and Data
Planes
Step 3: Break out control plane to SDN
application layer
Applications require a telecom-grade platform to deliver these capabilities
Control Plane • Implemented on an Intel ATCA Blade
• Application Virtualization
OpenFlow
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Agenda
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Market trends
3
4
Problems and Challenges
New Options and Solutions
Service Provider Deployment Applications
Sponsor Approaches
Conclusions
Q&A
1
2
3
4
5
6
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‣ Multi-layer and
carrier-grade
‣ Open, modular
control layer
‣ Adding OpenFlow
support to
infrastructure layer
Ciena’s SDN Approach
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Fujitsu’s Approach to SDN Initial focus on multi-layer technology abstraction to accelerate service delivery
Deliver services over multiple transport technologies
Abstract the Service from the Transport Technology
Just provision service end point attributes
Bandwidth, Protection, CoS, etc.
Normalize technology differences between device types
Using “templates” and middleware to profile a device’s capabilities
e.g., # of CoS, CoS ID type, scheduler types, etc.
Unified platform for mgmt. of services and network resources
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EoF EAD Agg. EoWDM Core EoS EAD Agg. EoWDM EoWDM Core
These steps are required to create a framework
for a more programmable network to accelerate service delivery
Management & Control
What Is the Best Platform?
Cloud services and virtualization: What is the best platform?
Source: Seeing through the Cloud: A survey of mobile operators' views on the
evolution of the mobile core, Monica Paolini, Senza Fili Consulting, Feb. 2013
ATCA is the clear choice for telecom
environments
Full Survey Results: http://go.radisys.com/paper-lte-2nd-annual-operator-survey.html
Agenda
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Market trends
3
4
Problems and Challenges
New Options and Solutions
Service Provider Deployment Applications
Sponsor Approaches
Conclusions
Q&A
1
2
3
4
5
6
7
Conclusions: SDN-NFV Here to Stay
‣ A network is a collection of elements/nodes and EMSs using many
technologies, protocols, and architectures, using multivendor equipment
‣ SDN and NFV create a new paradigm for network operations and services
• New levels of innovation not possible with current technologies
‣ New revenue and operational efficiency drive SDN/NFV
• Global network view and intelligence means networks can run hotter—saves CAPEX
• Global network view and subscriber behavior data means new services and quicker
revenues
‣ Many operators are testing, doing proof of concepts (PoCs), learning, and
some are pushing toward initial commercialized services or network
operations based on SDN and NFV
‣ SDNs and NFV are a fundamental change that will take many years for
transformation — but operators are starting now, first in targeted contained
domains
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What Carriers Expect from SDN & NFV
Networks
Operations
Service
Delivery
Monetization
Global view of services and network, higher utilization, more deterministic control
Automation with higher quality with fewer human resources and network elements
Global view of multi-vendor, multi-layer, multi-technology service-delivery fabric
Automation helps optimize “network as a system” – for QoS, revenue, power,
utilization, etc.
Accelerated time-to-market and revenues; new services at “IT speed”
Scale network, services, and revenue with sub-linear cost
Reduced cost, higher velocity, open platform for service innovation
Better matching of network supply with application demand and user willingness to
pay
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Agenda
36
Market trends
3
4
Problems and Challenges
New Options and Solutions
Service Provider Deployment Applications
Sponsor Approaches
Conclusions
Q&A
1
2
3
4
5
6
7
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Q&A
Michael Howard
Co-Founder and Principal
Analyst, Carrier Networks
Infonetics Research
Ralph Santitoro
Director of Strategic Market
Development
Fujitsu Network Communications
Mitch Auster
Senior Director - Product
Marketing
Ciena
Eric Gregory
Director – Product
Management
Radisys
JoAnne Emery
(Moderator)
Event Director
Infonetics Research
Thank You This webcast will be available on-demand for 90 days
For additional Infonetics events, visit https://www.infonetics.com/infonetics-events/
Appendix
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Vendor 3
Value of abstracting full data center domain
The DC Is a Contained Domain for Abstraction…
SDN Controller
Nicera
App App App App App App
App App App
VMs
VMs
VMs
Vendor 2
L2 Ethernet
40
Hypervisor
VMWare
© Infonetics Research 2013
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…But Carrier Networks Are Unconstrained Planes
• Multi-equipment types
• Dare we tackle multi-operator?
SDN Controller
App App App
Wholesale
connections
Mobile backhaul
Vendor 3
Vendor 2
L0 WDM
Vendor 3
Vendor 2
L1 OTN SDH SONET
Vendor 3
Vendor 2
L2 Ethernet
Vendor 3
Vendor 2
L3 Routing
Vendor 3
Vendor 2
L4–L7
PON
FTTH
DSL
• Multi-layer
• Multi-vendor
Business
connections
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L3 VPNs
L2 VPNs
VLANs
L3 VPNs
L2 VPNs
Ethernet
services
L3 VPNs
L2 VPNs
VLANs
L3 VPNs
L2 VPNs
© Infonetics Research 2013
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Carriers Start with Contained Domains, e.g., EPC
SDN Controller
App App App
Mobile Packet Core, EPC
Vendor 3
Vendor 2
L0 WDM
Vendor 3
Vendor 2
L1 OTN SDH SONET
Vendor 3
Vendor 2
L2 Ethernet
Vendor 3
Vendor 2
L3 Routing
Vendor 3
Vendor 2
L4–L7
42 © Infonetics Research 2013