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Network Function Virtualization in the Cloud: Case
for Enterprises
Alka Gupta, VMware
Sanjay Aiyagari, VMware
Allon Dafner, Amdocs
Iain Woolf, Alcatel-Lucent
Artur Tyloch, Nokia Solutions and Networks
TEX5466
#TEX5466
2
Disclaimer
 This presentation may contain product features that are currently
under development.
 This overview of new technology represents no commitment from
VMware to deliver these features in any generally available
product.
 Features are subject to change, and must not be included in
contracts, purchase orders, or sales agreements of any kind.
 Technical feasibility and market demand will affect final delivery.
 Pricing and packaging for any new technologies or features
discussed or presented have not been determined.
3
Agenda
 Cloud Services in Telecom
 Network Function Virtualization
• Overview
• VMware Value Proposition
 vSphere Carrier-Grade Hypervisor
• Real-time Features
 Partnerships and Use Cases
• Amdocs
• Alcatel-Lucent
• Nokia Solutions and Networks
4
VMware: The Industry-Leading Virtualization Software Company
 $4.61 billion in revenues
for 2012
 More than 500,000 customers
 99% of the Fortune 100
 99% of the Fortune 500
 99% of the Fortune 1000
 100% of the Fortune Global 100
 99% of the Fortune Global 500
 Over 55,000 partners worldwide
 ~13,800 employees worldwide
5
The Broadest, Most Mature Ecosystem for Virtualization/Cloud
10,000+
Service Provider Partners
2,200+
Technology Alliance Partners
55,000+ Total Partners
Distributors, ISVs, OEMs, Solution Providers,
Service Providers, System Integrators
93,000+ VMware
Certified Professionals
7
Virtual Reality
9%
14%
22%
33%
42%
51%
59% 60%
80%
% workloads
on virtualized infrastructure
Source: Gartner “Magic Quadrant for x86 Server Virtualization Infrastructure” by Thomas J. Bittman, George J. Weiss, Mark A. Margevicius, Philip
Dawson, June 11, 2012
2005 2006 2007 2008 2009 2010 2011 2013
80%
70%
60%
50%
40%
30%
20%
10%
0
2015
8
Setting the Scene
Why Cloud for Telecom Operators
9
The importance of Cloud Services to Operators
 Eagerly seeking services: A strong desire to make money out of
cloud market
 Traditional sources of revenue (communications services) are
declining, especially in developed markets
 According to Heavy Reading study early 2012 with 149
operator respondents:
• ~60% of operators are familiar with cloud
• ~80% of operators have a cloud evaluation team in place
• 55% already purchased cloud technology
• >40% of operators have already launched multiple cloud services
 Cloud services are a big driver for SDN and NFV
10
Future of Telco Business Linked to Three Emerging Technologies
 Virtualization
• Abstracting networking software (functions) from dedicated hardware and
running in virtual machines on COTS platform
• NFV initiative specifically is about consolidating many network equipment
types onto standard high volume servers, switches and storage in a cloud (ie
elastic, resource pooled, orchestrated ) environment
 Software-Defined Networking
• Creates network abstractions to enable faster innovation
• Using virtualization techniques, e.g. network overlays to create programmable
data center networks
• Using protocols/technologies such as OSS/orchestration and management
systems to create programmable WAN
 Cloud
• Layer of automation/orchestration on top of virtualization that provides NIST
cloud characteristics
• Distinction emerging between “resource cloud” and “application
management cloud”
11
Network Function Virtualization (NFV)
12
Network Function Virtualization
13
ENTERPRISE
SERVICES
Evolved Packet Core
(PGW/SGW/MME/GGSN)
M2M SERVICES
VOLTE SERVICES
(IMS,TAS,RMS)
SERVICE
MONITORING
Network Infrastructure
(Access, Transport, Routing/Switching)
SMART NETWORK
POLICY CONTROL`
Common HW Infrastructure distributed across
data centers, where NW nodes become
Applications
14
• Virtualization of Mobile Core Network and IMS
• Virtualization of CDNs (vCDN)
• Virtualized Network Functions and Cloud Computing Infrastructure
• Virtualization of Mobile Base Station
• Virtualization of Home Environment
• Virtualization of the Enterprise (vEnterprise)
• Virtualization of service chains (Firewall, NAT, security, load balancer,
DPI, 3GPP functions, various forms of gateways, etc)
• Cloud service exposure to a 3rd party
NFV Use Cases (Source ETSI)
15
Reasons for NFV
16
NFV in the CARRIER CLOUD
Element Manager System
HW Resource Pool
Compute Resources Load balancing Res. Network Resources Storage Resources
Element Manager System (EMS)/Cloud framework from each Tennant
vSphere/vCenter/vCloud
VM:
TAS-
NEP3
VM:
IMS-
NEP2
VM :
IMS-
NEP1
Management of application
Global Orchestration/Cloud Management System
Integration Framework
OS/Software
Provisioning
Virtualization
Managers
Hardware
Managers
APIs
Middleware Layer
Cloud
Admin
(Tenant
Admin)
Tenant
User
Tenant
User
(Tenant
Admin)
Tenant
User
Hardware Layer
VM:
SBC-
NEP3
VM:
MMS-
NEP3
SGSN
MGW
MSS
MGW
LEGACY
ENV.
Legacy and SOA interfaces / NGCOR
OSS/BSS Higher Level System
VCLOUD MULTI-TENANT VIRTUAL DATA CENTER
VCLOUD APISvCloud APIs
ORG 1 ORG 3ORG 2
17
VMware vSphere = Virtualization
VMware vCloud Suite = Software-defined Datacenter
• Virtualization
• Delivered by VMware vSphere
• Software-defined Datacenter
• Architecture for Cloud
• Recasting all datacenter services
as software
• Compute, storage, network
• Security, Availability
• Automation and Management
vCloud Suite: Complete offering delivering the Software-defined Datacenter
18
Virtualizing Networks with VMware – VMware vCloud Suite
Cloud Infrastructure
VMware vCloud Director
Integration &
Orchestration
VMware vCloud
API’s
VMware vCloud
Connector
VMware vCenter
Orchestrator
Virtualization
Management
VMware Sphere
Virtualization Platform
VMware vCenter
Site Recovery Manager
Virtualization Disaster
Recovery
Network & Security
Virtualization
VMware vCloud
Networking and Security
VMware vCenter
Operations
Management Suite
VMware vFabric
Application
Director
VMware vCloud
Automation Center
VMware vCloud
Connector
DPI
SGSN
GGSN
HSS
HLR
BSS IMS OSS SDPSBC
Storage/
Availability Servers Networking Security Management/
Monitoring
20
Carrier-Grade Hypervisor
22
Real-time ! = Average Latency
• Real-time applications need determinism
• Primary criteria: Maximum Latency (i.e. Low Jitter)
• Average Latency also important, lower is better
• 99%ile Latency: track trend in reducing outliers contributing to
maximum latency
• RT features available in ESXi 5.5
22
23
Average Latencies in ESXi 5.0
 Benchmark: Ping (ICMP) Kernel space <-> Kernel space
 VM I/O Path: vmxnet3 vNIC/vSwitch -> Intel 82599 10GbE pNIC
 Latencies: Average HRT (Half Round Trip) in microseconds
23
10 us 18 us 13 us
Ping Ping Ping
Physical to Physical VM to Physical VM to VM (same host)
Virtual Networking
24
Real-time Virtualization Performance Results
24
ISR
Latency
Interrupt
period
ISRISR
Jitter
• cyclictest –p 99 –a 1 –m –n –D 10m –q
ESXi 5.0 ESXi 5.1 ESXi RT Prototype
Min 5 μs
Max 1676 μs
Avg 13 μs
Min 4 μs
Max 1536 μs
Avg 7 μs
Min 2 μs
Max 23 μs
Avg 4 μs
99%-ile 56 μs 99%-ile 11μs
99.99%-ile 118 μs 99.99%-ile 17 μs
25
Partner Use Cases
25
26
Partner Use Cases
 Amdocs – First Fully Virtualized Real-Time Charging
 Alcatel-Lucent – Virtualizing Wireless Cloud Element
 NSN – Telco in the Cloud
26
First Fully Virtualized
Real-Time Charging
Allon Dafner
Director, Strategic Accounts
Amdocs Product Business Group
August 2013
28
#1 in Telecom Software
Market Share
Amdocs wins
2012 Outsourcing
Excellence Award
A leader in 2012
Integrated Revenue
and Customer
Management (IRCM)
Magic Quadrant
About Amdocs
 Leader in Telecom Customer Experience Systems and Services
 $3.2 billion revenue in 2012
 20,000 professionals
 Serving customers in more than 60 countries
 Listed on the New York Stock Exchange (DOX)
Information Security Level 1 – Confidential
© 2013 – Proprietary and Confidential Information of Amdocs
29
We Support Billions of Telecom Customer Experiences a Day
250+ customers 2500+ projects
Caribbean and
Latin America
Asia PacificEurope, Middle East
and Africa
North America
Information Security Level 1 – Confidential
© 2013 – Proprietary and Confidential Information of Amdocs30
Amdocs Portfolio – fully virtualized
BE
EFFICIENT
STAY
AHEAD
HARNESS
DATA
SIMPLIFY
EXPERIENCE
Business Process Expertise
IPTV PC Home Hub
Devices
Tablet Connected CarMobile Customer Care Retail Web
@
Channels
24
PhoneHome Monitoring
Fixed, Wireless, Next Generation Networks
Unified Foundation
AMDOCS SERVICES
Business Consulting
System Integration
Project Delivery
Support
Managed Services
AMDOCS CUSTOMER
EXPERIENCE SOLUTIONS
Customer Management
Digital Services
Revenue Management
Operations Support Systems
Network Control
Information Security Level 1 – Confidential
© 2013 – Proprietary and Confidential Information of Amdocs31
Amdocs Portfolio – fully virtualized
BE
EFFICIENT
STAY
AHEAD
HARNESS
DATA
SIMPLIFY
EXPERIENCE
Business Process Expertise
IPTV PC Home Hub
Devices
Tablet Connected CarMobile Customer Care Retail Web
@
Channels
24
PhoneHome Monitoring
Fixed, Wireless, Next Generation Networks
Unified Foundation
AMDOCS SERVICES
Business Consulting
System Integration
Project Delivery
Support
Managed Services
AMDOCS CUSTOMER
EXPERIENCE SOLUTIONS
Customer Management
Digital Services
Revenue Management
Operations Support Systems
Network Control
32
Amdocs Online Charging System
OCS is part network, part IT, part business
 These are not packets, this is money
It is challenging:
 Highly sensitive to latency
 Network grade high availability
 Highly tuned and hardware optimized
A lost event, is a lost dollar
33
Virtualizing Amdocs Online Charging System
SUCCESS
• Virtualized OCS results are on par
with the physical deployment
A joint VMware and Amdocs certification was held
• Physical environment compared to virtualized
• Production like, high loads
We had some concerns
• Virtualization may add latency overheads
• Separates OCS from physical hardware
• Real time aspects of continuous processing
!
34
VMware Certification Results
Comparing virtualized OCS and physical
is comparing apples to apples
-10%
0
1
2
3
4
5
6
7
8
90%
95%
99%
99.5%
Latency (ms)
Baseline (physical) VM
Sub Second
Failover
Productivity
35
Virtualized OCS LIVE in Production
A virtualized OCS is running in production in a large Tier-1 North
American carrier
36
Amdocs Online Charging – What’s Next?
Virtualized OCS Cloud-aware, NFV Monetizing SDN & NFV Networks
• Deployable on
Operators’ Datacenter
• OPEX & CAPEX
reduction
• NFV-OCS
• Automated Elasticity
• CMS-managed
• Further TCO reduction
• Cloud Services
Monetization
• RT Analytics &
Orchestration
Monetization
• SDN Monetization
Thank You!
Allon Dafner
Allon.dafner@amdocs.com
© 2013 VMware Inc. All rights reserved
Alcatel-Lucent Wireless
Cloud Element
Virtual Radio Network Controller
Iain Woolf
39
From Controller to Radio Network Platform
Virtualization
One application
Dedicated hardware
Multi - Tenancy
• Cloud in a box
Hardware independent scalable platform
supporting multiple technologies
• Flexibility
From small single technology to large
multi-technology controller
• Cloud on a disk
Software only solution can be
deployed in existing data center
• Seamless capacity
and scalability
Cloud architecture
SW
HW
RNC
RNC RNC
RNC
40
Wireless Cloud Element Feature Roadmap
Leverage benefits for Network Function
 Multi-Tenancy – GSM, W-CDMA,
and LTE applications share
physical resources
 Horizontal Scalability – number
of CPUs controls capacity
(flexible configurations)
 Elastic Capacity – the capacity of the
system can change quickly according
to need
 Reduced Power Usage – as capacity
breathes throughout the day hardware
can power up / down
 Geographic Redundancy – a fault in
one location does not disable the system
 Zero Downtime Maintenance – VMs
move to other hardware for maintenance
Sub-Urban
Dense Urban
Rural
As traffic shifts during the day ...
... server
load is
uniform
RNCRNC
41
Transformation from 9370 to WCE RNC
 The WCE virtual RNC needs to scale
horizontally to much larger capacity
than possible with the 9370
 Two problems must be addressed:
• N2 Communications
• Scope of Failure
 Reorganization of existing 9370
code allowed for the creation of
a component responsible for cells
and another responsible for user
equipment (UEs)
 As UEs (and UMUs) are
independent of each allowing
for horizontal scalability
 The scope of failure is greater
reduced as UMUs don’t
require sparing
WCE vRNC Virtual Machines
Current 9370 RNC Application
RAB
U-Plane
GTP/RLC
MAC
TMU
U-Plane
RPM-Cell
C-Plane
NoB CP
C-Plane
UE CP
CMU UMU
U-Plane
GTP/RLC
MAC
C-Plane
NoB CP
U-Plane
RPM-Cell
C-Plane
UE CP
VxWorks on Linux
VxWorks
CMU
UEU
UEU
UEU
UEU
UEU
UEU
UEU
UEU
UEU
UEU
UMU
UEU
UEU
UEU
UEU
UEU
UEU
UEU
UEU
UEU
UEU
UMU
CMU
CMU
CMU
Cells
(spared)
Mobiles
Scale to
10000s of Cells
Scale to
100000s of Mobiles
42
Wireless Cloud Element – 3G RNC Architecture
 RNC Components:
 Spared Roles
(SWACT in a few seconds):
• CMU (N+M) – Cell Management
• 3gOAM (1+1) – OAM termination
• PC (N+1) – Public / Private
network gateway
 Unspared Role
(Return to capacity ~ 60s):
• UMU - UE Management (UE Call)
& RAB UE Packet processing
 Platform Components:
• vCenter Server – VM Management
(VMware)
• LRC Mgr – Tenant Management
(unspared)
• Disk Access – NAS Front End to SAN
 Each RNC component represents
a single virtual machine
UMU
U-Plane
GTP/RLC
MAC
NI
SCCP
C-Plane
UE CP
CMU
U-Plane
RPM-Cell
NI
M3UA
SCTP
C-Plane
NoB CP
Iub/Iur/IuCS/IuPS
Signaling
PC
PC
NAT
Common
Channel
Traffic
Iub / NBAP
Dedicated
Channel
Traffic
vCenter Server
LRC Mgr
3gOAM
PC
Control
OMU Netconf
Disk
Access
43
RNC Real-time Requirements
 A controller’s user-plane
components typically need
very precise timing, e.g.
 The RNC must send downlink
packets such that they arrive
at the NodeB within the Time
Of Arrival Window
 When the user goes into
Diversity mode the RNC’s
transmit window must
compensate for different
transmission times
 Six NodeB may be involved in
a single user’s connection
which currently reduces the
RNC transmit window to 5ms
147 148 149 150 151 152
CFN
CFN
Early OK Late Too Late
TprocTOAWS
(50 ms)
Node B
CFN
Node B
CFN
Node B
SRNC
44
Non-deterministic Timing
 Deterministic timing not
possible within a virtualized /
cloud environment
 Virtualized Network
Functions must compensate
for timing uncertainty
 Data for this chart was
extracted from the virtualized
RNC while running an hour
long traffic test
 Note: this system was
running with ESXi 5.1;
significant improvements are
expected from ESXi 5.5
45
Interval Scheduling
 Interval scheduling allows
for variable amounts of time
between events
 At each event an accurate time
reference is read and the interval
between events is calculated
 Based on the elapsed time and the
priority of work that needs to be
done a work schedule is created
that ensures isochronous work is
completed first at the potential
expense of background work
46
Shadow Network Functions
 WCE provides the capability to
create a “shadow” of a network
element within the same physical
hardware as the service providing
network element
 This shadow can be used for:
• Fast and Graceful Reset
• Software Upgrade
• Software Configuration Change
• Virtual or Physical Machine Change
• Geo-Redundancy
 Roll-back to the previous version
is possible after an upgrade
RNC
iBTS
RNC
Core Network
RNC
47
48
49
Towards an Improved Telco Cloud
Nokia Solutions and Networks
Artur Tyloch
VMWorld 2013, San Francisco
50
17.950,500no.1 59
120 20112007
Global company with a rich heritage
Ranking, macro
base station vendor
competitive
assessment
LTE supplier
to launched
operator
networks
Employees
globally
Our net sales
in 2012
bn
$
120+
Started Telecoms
experience
in years
Countries
we operate in
We acquired
Motorola’s wireless
network
Focused on Mobile Broadband
51
The next disruption is coming
to wireless networks
52
NSN’s relationship with VMware
• VMware is NSN’s
approved software
supplier since 2011
• vSphere, vCenter..
1
• Licenses and support for
demos and testing
purposes
• Lab installations in
several NSN locations
2
Parties are cooperating on
proof of concept projects
for migrating mobile core
applications to cloud,
involving several major
wireless carriers
3
NSN and VMware
have an ongoing
business
relationship
Cooperation in
proof of concept
projects
‘Create innovative telco grade cloud solutions for wireless carriers’
NSN is VMware’s
Technology Alliance
Program (TAP)
partner
53
The VoLTE race has began already
• 2 times more voice calls per MHz
• 3 times more data throughput per MHz
• A multimedia environment enriches voice and
equips for fight against OTTs
• Operators plan to combine VoLTE with RCS to
offer multimedia, video telephony and video chat
0
10
20
30
40
50
GSMAMR HSPACS
12.2kbps
VoLTE
12.2kbps
Calls per MHz
• Short call setup time
• HD voice service experience (IR.92)
• Guaranteed bit rate
• VoLTE terminal talk time expected to
outperform OTT VoIP ~ by factor 1.5
* IR.92: GSMA IMS Profile for Voice and SMS
0
2
4
6
CS call VoLTE
Setuptimeinsec
Call setup time
improvement
Increase
Spectral
Efficiency
Superior
Voice Service
Quality
Richer
End User
Experience
54
Network Architecture 2020
Telco Networks will undergo a fundamental transformation
Content and application
aware network ensuring
best customer
experience
• Central data centers
for efficient network control
and XaaS offerings
• Common Network & IT data
Local data centers
hosting multiple
intelligent network
applications
Heterogeneous access
combining multiple
technologies and cell
sizes
Network Architecture 2013
Flexibility & efficiency through
virtualization and automation
55
Why core applications in a Telco Cloud?
High Total Cost of Ownership
MSS
MGCF
CSCF
IMS-MGW
HSS
GGSN
PCRF
TAS
CS-MGW
HLR
SGSN
Browsing GW
I-BGF
Serving GW
MME
PDN GW
High complexity with
dedicated hardware/
software for each
function
Proprietary hardware
limits gains from
industry-wide
innovation
Cannot meet
new capacity demands
and new service
launches easily
Target: Core applications in the IT datacenter
• Better Business Agility (- create new services much cheaper and faster -)
• Operational Efficiencies (- remove operational silos -)
• Capex Efficiencies (- leverage latest IT hardware and cloud technology -)
Cloud
56
NSN and VMware initiative towards improved Telco Cloud
Live experiences from a lab verification
Lab verification
Discover and develop telecom requirements
in hypervisor and cloud orchestration layers
• High availability and resiliency (recovery
groups, affinity rules)
• Integrated operations (FM, PM)
• Latency optimization
• Optimization of vMotion to telecom
applications
Major Telco
Cloud
Functions
verified
VoLTE Test
Cases
Verified
Flexible
Setup
Enabling
Efficiency
Automation,
elastic
scaling,
recovery
Cloud Domain Management
NetAct
Cloud stack mediation
Operationon
Demand
Open TASIMS
iNUM
API
VMware ESXi hypervisor
HWResource Pool
VMware
Cloud
Management
(vCloudDirector,
vCenter Server)
OAM
i/f
Voice over LTE services in Telco Cloud
57
NSN vision of a liquid
network architecture
58
Presentation / Author / Date
Thank YOU !
ARTUR.TYLOCH@NSN.COM
THANK YOU
Network Function Virtualization in the Public Cloud:
Case for Enterprises
Alka Gupta, Vmware
Sanjay Aiyagari, Vmware
Allon Dafner, Amdocs
Iain Woolf, Alcatel-Lucent
Artur Tyloch, Nokia Solutions and Networks
TEX5466
#TEX5466

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VMworld 2013: Network Function Virtualization in the Cloud: Case for Enterprises

  • 1. Network Function Virtualization in the Cloud: Case for Enterprises Alka Gupta, VMware Sanjay Aiyagari, VMware Allon Dafner, Amdocs Iain Woolf, Alcatel-Lucent Artur Tyloch, Nokia Solutions and Networks TEX5466 #TEX5466
  • 2. 2 Disclaimer  This presentation may contain product features that are currently under development.  This overview of new technology represents no commitment from VMware to deliver these features in any generally available product.  Features are subject to change, and must not be included in contracts, purchase orders, or sales agreements of any kind.  Technical feasibility and market demand will affect final delivery.  Pricing and packaging for any new technologies or features discussed or presented have not been determined.
  • 3. 3 Agenda  Cloud Services in Telecom  Network Function Virtualization • Overview • VMware Value Proposition  vSphere Carrier-Grade Hypervisor • Real-time Features  Partnerships and Use Cases • Amdocs • Alcatel-Lucent • Nokia Solutions and Networks
  • 4. 4 VMware: The Industry-Leading Virtualization Software Company  $4.61 billion in revenues for 2012  More than 500,000 customers  99% of the Fortune 100  99% of the Fortune 500  99% of the Fortune 1000  100% of the Fortune Global 100  99% of the Fortune Global 500  Over 55,000 partners worldwide  ~13,800 employees worldwide
  • 5. 5 The Broadest, Most Mature Ecosystem for Virtualization/Cloud 10,000+ Service Provider Partners 2,200+ Technology Alliance Partners 55,000+ Total Partners Distributors, ISVs, OEMs, Solution Providers, Service Providers, System Integrators 93,000+ VMware Certified Professionals
  • 6. 7 Virtual Reality 9% 14% 22% 33% 42% 51% 59% 60% 80% % workloads on virtualized infrastructure Source: Gartner “Magic Quadrant for x86 Server Virtualization Infrastructure” by Thomas J. Bittman, George J. Weiss, Mark A. Margevicius, Philip Dawson, June 11, 2012 2005 2006 2007 2008 2009 2010 2011 2013 80% 70% 60% 50% 40% 30% 20% 10% 0 2015
  • 7. 8 Setting the Scene Why Cloud for Telecom Operators
  • 8. 9 The importance of Cloud Services to Operators  Eagerly seeking services: A strong desire to make money out of cloud market  Traditional sources of revenue (communications services) are declining, especially in developed markets  According to Heavy Reading study early 2012 with 149 operator respondents: • ~60% of operators are familiar with cloud • ~80% of operators have a cloud evaluation team in place • 55% already purchased cloud technology • >40% of operators have already launched multiple cloud services  Cloud services are a big driver for SDN and NFV
  • 9. 10 Future of Telco Business Linked to Three Emerging Technologies  Virtualization • Abstracting networking software (functions) from dedicated hardware and running in virtual machines on COTS platform • NFV initiative specifically is about consolidating many network equipment types onto standard high volume servers, switches and storage in a cloud (ie elastic, resource pooled, orchestrated ) environment  Software-Defined Networking • Creates network abstractions to enable faster innovation • Using virtualization techniques, e.g. network overlays to create programmable data center networks • Using protocols/technologies such as OSS/orchestration and management systems to create programmable WAN  Cloud • Layer of automation/orchestration on top of virtualization that provides NIST cloud characteristics • Distinction emerging between “resource cloud” and “application management cloud”
  • 12. 13 ENTERPRISE SERVICES Evolved Packet Core (PGW/SGW/MME/GGSN) M2M SERVICES VOLTE SERVICES (IMS,TAS,RMS) SERVICE MONITORING Network Infrastructure (Access, Transport, Routing/Switching) SMART NETWORK POLICY CONTROL` Common HW Infrastructure distributed across data centers, where NW nodes become Applications
  • 13. 14 • Virtualization of Mobile Core Network and IMS • Virtualization of CDNs (vCDN) • Virtualized Network Functions and Cloud Computing Infrastructure • Virtualization of Mobile Base Station • Virtualization of Home Environment • Virtualization of the Enterprise (vEnterprise) • Virtualization of service chains (Firewall, NAT, security, load balancer, DPI, 3GPP functions, various forms of gateways, etc) • Cloud service exposure to a 3rd party NFV Use Cases (Source ETSI)
  • 15. 16 NFV in the CARRIER CLOUD Element Manager System HW Resource Pool Compute Resources Load balancing Res. Network Resources Storage Resources Element Manager System (EMS)/Cloud framework from each Tennant vSphere/vCenter/vCloud VM: TAS- NEP3 VM: IMS- NEP2 VM : IMS- NEP1 Management of application Global Orchestration/Cloud Management System Integration Framework OS/Software Provisioning Virtualization Managers Hardware Managers APIs Middleware Layer Cloud Admin (Tenant Admin) Tenant User Tenant User (Tenant Admin) Tenant User Hardware Layer VM: SBC- NEP3 VM: MMS- NEP3 SGSN MGW MSS MGW LEGACY ENV. Legacy and SOA interfaces / NGCOR OSS/BSS Higher Level System VCLOUD MULTI-TENANT VIRTUAL DATA CENTER VCLOUD APISvCloud APIs ORG 1 ORG 3ORG 2
  • 16. 17 VMware vSphere = Virtualization VMware vCloud Suite = Software-defined Datacenter • Virtualization • Delivered by VMware vSphere • Software-defined Datacenter • Architecture for Cloud • Recasting all datacenter services as software • Compute, storage, network • Security, Availability • Automation and Management vCloud Suite: Complete offering delivering the Software-defined Datacenter
  • 17. 18 Virtualizing Networks with VMware – VMware vCloud Suite Cloud Infrastructure VMware vCloud Director Integration & Orchestration VMware vCloud API’s VMware vCloud Connector VMware vCenter Orchestrator Virtualization Management VMware Sphere Virtualization Platform VMware vCenter Site Recovery Manager Virtualization Disaster Recovery Network & Security Virtualization VMware vCloud Networking and Security VMware vCenter Operations Management Suite VMware vFabric Application Director VMware vCloud Automation Center VMware vCloud Connector DPI SGSN GGSN HSS HLR BSS IMS OSS SDPSBC Storage/ Availability Servers Networking Security Management/ Monitoring
  • 19. 22 Real-time ! = Average Latency • Real-time applications need determinism • Primary criteria: Maximum Latency (i.e. Low Jitter) • Average Latency also important, lower is better • 99%ile Latency: track trend in reducing outliers contributing to maximum latency • RT features available in ESXi 5.5 22
  • 20. 23 Average Latencies in ESXi 5.0  Benchmark: Ping (ICMP) Kernel space <-> Kernel space  VM I/O Path: vmxnet3 vNIC/vSwitch -> Intel 82599 10GbE pNIC  Latencies: Average HRT (Half Round Trip) in microseconds 23 10 us 18 us 13 us Ping Ping Ping Physical to Physical VM to Physical VM to VM (same host) Virtual Networking
  • 21. 24 Real-time Virtualization Performance Results 24 ISR Latency Interrupt period ISRISR Jitter • cyclictest –p 99 –a 1 –m –n –D 10m –q ESXi 5.0 ESXi 5.1 ESXi RT Prototype Min 5 μs Max 1676 μs Avg 13 μs Min 4 μs Max 1536 μs Avg 7 μs Min 2 μs Max 23 μs Avg 4 μs 99%-ile 56 μs 99%-ile 11μs 99.99%-ile 118 μs 99.99%-ile 17 μs
  • 23. 26 Partner Use Cases  Amdocs – First Fully Virtualized Real-Time Charging  Alcatel-Lucent – Virtualizing Wireless Cloud Element  NSN – Telco in the Cloud 26
  • 24. First Fully Virtualized Real-Time Charging Allon Dafner Director, Strategic Accounts Amdocs Product Business Group August 2013
  • 25. 28 #1 in Telecom Software Market Share Amdocs wins 2012 Outsourcing Excellence Award A leader in 2012 Integrated Revenue and Customer Management (IRCM) Magic Quadrant About Amdocs  Leader in Telecom Customer Experience Systems and Services  $3.2 billion revenue in 2012  20,000 professionals  Serving customers in more than 60 countries  Listed on the New York Stock Exchange (DOX) Information Security Level 1 – Confidential © 2013 – Proprietary and Confidential Information of Amdocs
  • 26. 29 We Support Billions of Telecom Customer Experiences a Day 250+ customers 2500+ projects Caribbean and Latin America Asia PacificEurope, Middle East and Africa North America
  • 27. Information Security Level 1 – Confidential © 2013 – Proprietary and Confidential Information of Amdocs30 Amdocs Portfolio – fully virtualized BE EFFICIENT STAY AHEAD HARNESS DATA SIMPLIFY EXPERIENCE Business Process Expertise IPTV PC Home Hub Devices Tablet Connected CarMobile Customer Care Retail Web @ Channels 24 PhoneHome Monitoring Fixed, Wireless, Next Generation Networks Unified Foundation AMDOCS SERVICES Business Consulting System Integration Project Delivery Support Managed Services AMDOCS CUSTOMER EXPERIENCE SOLUTIONS Customer Management Digital Services Revenue Management Operations Support Systems Network Control
  • 28. Information Security Level 1 – Confidential © 2013 – Proprietary and Confidential Information of Amdocs31 Amdocs Portfolio – fully virtualized BE EFFICIENT STAY AHEAD HARNESS DATA SIMPLIFY EXPERIENCE Business Process Expertise IPTV PC Home Hub Devices Tablet Connected CarMobile Customer Care Retail Web @ Channels 24 PhoneHome Monitoring Fixed, Wireless, Next Generation Networks Unified Foundation AMDOCS SERVICES Business Consulting System Integration Project Delivery Support Managed Services AMDOCS CUSTOMER EXPERIENCE SOLUTIONS Customer Management Digital Services Revenue Management Operations Support Systems Network Control
  • 29. 32 Amdocs Online Charging System OCS is part network, part IT, part business  These are not packets, this is money It is challenging:  Highly sensitive to latency  Network grade high availability  Highly tuned and hardware optimized A lost event, is a lost dollar
  • 30. 33 Virtualizing Amdocs Online Charging System SUCCESS • Virtualized OCS results are on par with the physical deployment A joint VMware and Amdocs certification was held • Physical environment compared to virtualized • Production like, high loads We had some concerns • Virtualization may add latency overheads • Separates OCS from physical hardware • Real time aspects of continuous processing !
  • 31. 34 VMware Certification Results Comparing virtualized OCS and physical is comparing apples to apples -10% 0 1 2 3 4 5 6 7 8 90% 95% 99% 99.5% Latency (ms) Baseline (physical) VM Sub Second Failover Productivity
  • 32. 35 Virtualized OCS LIVE in Production A virtualized OCS is running in production in a large Tier-1 North American carrier
  • 33. 36 Amdocs Online Charging – What’s Next? Virtualized OCS Cloud-aware, NFV Monetizing SDN & NFV Networks • Deployable on Operators’ Datacenter • OPEX & CAPEX reduction • NFV-OCS • Automated Elasticity • CMS-managed • Further TCO reduction • Cloud Services Monetization • RT Analytics & Orchestration Monetization • SDN Monetization
  • 35. © 2013 VMware Inc. All rights reserved Alcatel-Lucent Wireless Cloud Element Virtual Radio Network Controller Iain Woolf
  • 36. 39 From Controller to Radio Network Platform Virtualization One application Dedicated hardware Multi - Tenancy • Cloud in a box Hardware independent scalable platform supporting multiple technologies • Flexibility From small single technology to large multi-technology controller • Cloud on a disk Software only solution can be deployed in existing data center • Seamless capacity and scalability Cloud architecture SW HW RNC RNC RNC RNC
  • 37. 40 Wireless Cloud Element Feature Roadmap Leverage benefits for Network Function  Multi-Tenancy – GSM, W-CDMA, and LTE applications share physical resources  Horizontal Scalability – number of CPUs controls capacity (flexible configurations)  Elastic Capacity – the capacity of the system can change quickly according to need  Reduced Power Usage – as capacity breathes throughout the day hardware can power up / down  Geographic Redundancy – a fault in one location does not disable the system  Zero Downtime Maintenance – VMs move to other hardware for maintenance Sub-Urban Dense Urban Rural As traffic shifts during the day ... ... server load is uniform RNCRNC
  • 38. 41 Transformation from 9370 to WCE RNC  The WCE virtual RNC needs to scale horizontally to much larger capacity than possible with the 9370  Two problems must be addressed: • N2 Communications • Scope of Failure  Reorganization of existing 9370 code allowed for the creation of a component responsible for cells and another responsible for user equipment (UEs)  As UEs (and UMUs) are independent of each allowing for horizontal scalability  The scope of failure is greater reduced as UMUs don’t require sparing WCE vRNC Virtual Machines Current 9370 RNC Application RAB U-Plane GTP/RLC MAC TMU U-Plane RPM-Cell C-Plane NoB CP C-Plane UE CP CMU UMU U-Plane GTP/RLC MAC C-Plane NoB CP U-Plane RPM-Cell C-Plane UE CP VxWorks on Linux VxWorks CMU UEU UEU UEU UEU UEU UEU UEU UEU UEU UEU UMU UEU UEU UEU UEU UEU UEU UEU UEU UEU UEU UMU CMU CMU CMU Cells (spared) Mobiles Scale to 10000s of Cells Scale to 100000s of Mobiles
  • 39. 42 Wireless Cloud Element – 3G RNC Architecture  RNC Components:  Spared Roles (SWACT in a few seconds): • CMU (N+M) – Cell Management • 3gOAM (1+1) – OAM termination • PC (N+1) – Public / Private network gateway  Unspared Role (Return to capacity ~ 60s): • UMU - UE Management (UE Call) & RAB UE Packet processing  Platform Components: • vCenter Server – VM Management (VMware) • LRC Mgr – Tenant Management (unspared) • Disk Access – NAS Front End to SAN  Each RNC component represents a single virtual machine UMU U-Plane GTP/RLC MAC NI SCCP C-Plane UE CP CMU U-Plane RPM-Cell NI M3UA SCTP C-Plane NoB CP Iub/Iur/IuCS/IuPS Signaling PC PC NAT Common Channel Traffic Iub / NBAP Dedicated Channel Traffic vCenter Server LRC Mgr 3gOAM PC Control OMU Netconf Disk Access
  • 40. 43 RNC Real-time Requirements  A controller’s user-plane components typically need very precise timing, e.g.  The RNC must send downlink packets such that they arrive at the NodeB within the Time Of Arrival Window  When the user goes into Diversity mode the RNC’s transmit window must compensate for different transmission times  Six NodeB may be involved in a single user’s connection which currently reduces the RNC transmit window to 5ms 147 148 149 150 151 152 CFN CFN Early OK Late Too Late TprocTOAWS (50 ms) Node B CFN Node B CFN Node B SRNC
  • 41. 44 Non-deterministic Timing  Deterministic timing not possible within a virtualized / cloud environment  Virtualized Network Functions must compensate for timing uncertainty  Data for this chart was extracted from the virtualized RNC while running an hour long traffic test  Note: this system was running with ESXi 5.1; significant improvements are expected from ESXi 5.5
  • 42. 45 Interval Scheduling  Interval scheduling allows for variable amounts of time between events  At each event an accurate time reference is read and the interval between events is calculated  Based on the elapsed time and the priority of work that needs to be done a work schedule is created that ensures isochronous work is completed first at the potential expense of background work
  • 43. 46 Shadow Network Functions  WCE provides the capability to create a “shadow” of a network element within the same physical hardware as the service providing network element  This shadow can be used for: • Fast and Graceful Reset • Software Upgrade • Software Configuration Change • Virtual or Physical Machine Change • Geo-Redundancy  Roll-back to the previous version is possible after an upgrade RNC iBTS RNC Core Network RNC
  • 44. 47
  • 45. 48
  • 46. 49 Towards an Improved Telco Cloud Nokia Solutions and Networks Artur Tyloch VMWorld 2013, San Francisco
  • 47. 50 17.950,500no.1 59 120 20112007 Global company with a rich heritage Ranking, macro base station vendor competitive assessment LTE supplier to launched operator networks Employees globally Our net sales in 2012 bn $ 120+ Started Telecoms experience in years Countries we operate in We acquired Motorola’s wireless network Focused on Mobile Broadband
  • 48. 51 The next disruption is coming to wireless networks
  • 49. 52 NSN’s relationship with VMware • VMware is NSN’s approved software supplier since 2011 • vSphere, vCenter.. 1 • Licenses and support for demos and testing purposes • Lab installations in several NSN locations 2 Parties are cooperating on proof of concept projects for migrating mobile core applications to cloud, involving several major wireless carriers 3 NSN and VMware have an ongoing business relationship Cooperation in proof of concept projects ‘Create innovative telco grade cloud solutions for wireless carriers’ NSN is VMware’s Technology Alliance Program (TAP) partner
  • 50. 53 The VoLTE race has began already • 2 times more voice calls per MHz • 3 times more data throughput per MHz • A multimedia environment enriches voice and equips for fight against OTTs • Operators plan to combine VoLTE with RCS to offer multimedia, video telephony and video chat 0 10 20 30 40 50 GSMAMR HSPACS 12.2kbps VoLTE 12.2kbps Calls per MHz • Short call setup time • HD voice service experience (IR.92) • Guaranteed bit rate • VoLTE terminal talk time expected to outperform OTT VoIP ~ by factor 1.5 * IR.92: GSMA IMS Profile for Voice and SMS 0 2 4 6 CS call VoLTE Setuptimeinsec Call setup time improvement Increase Spectral Efficiency Superior Voice Service Quality Richer End User Experience
  • 51. 54 Network Architecture 2020 Telco Networks will undergo a fundamental transformation Content and application aware network ensuring best customer experience • Central data centers for efficient network control and XaaS offerings • Common Network & IT data Local data centers hosting multiple intelligent network applications Heterogeneous access combining multiple technologies and cell sizes Network Architecture 2013 Flexibility & efficiency through virtualization and automation
  • 52. 55 Why core applications in a Telco Cloud? High Total Cost of Ownership MSS MGCF CSCF IMS-MGW HSS GGSN PCRF TAS CS-MGW HLR SGSN Browsing GW I-BGF Serving GW MME PDN GW High complexity with dedicated hardware/ software for each function Proprietary hardware limits gains from industry-wide innovation Cannot meet new capacity demands and new service launches easily Target: Core applications in the IT datacenter • Better Business Agility (- create new services much cheaper and faster -) • Operational Efficiencies (- remove operational silos -) • Capex Efficiencies (- leverage latest IT hardware and cloud technology -) Cloud
  • 53. 56 NSN and VMware initiative towards improved Telco Cloud Live experiences from a lab verification Lab verification Discover and develop telecom requirements in hypervisor and cloud orchestration layers • High availability and resiliency (recovery groups, affinity rules) • Integrated operations (FM, PM) • Latency optimization • Optimization of vMotion to telecom applications Major Telco Cloud Functions verified VoLTE Test Cases Verified Flexible Setup Enabling Efficiency Automation, elastic scaling, recovery Cloud Domain Management NetAct Cloud stack mediation Operationon Demand Open TASIMS iNUM API VMware ESXi hypervisor HWResource Pool VMware Cloud Management (vCloudDirector, vCenter Server) OAM i/f Voice over LTE services in Telco Cloud
  • 54. 57 NSN vision of a liquid network architecture
  • 55. 58 Presentation / Author / Date Thank YOU ! ARTUR.TYLOCH@NSN.COM
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  • 58. Network Function Virtualization in the Public Cloud: Case for Enterprises Alka Gupta, Vmware Sanjay Aiyagari, Vmware Allon Dafner, Amdocs Iain Woolf, Alcatel-Lucent Artur Tyloch, Nokia Solutions and Networks TEX5466 #TEX5466