Cisco Connect 2018 Malaysia

1. © 2017 Cisco and/or its affiliates. All rights reserved. Cisco Confidential

2. © 2017 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
Digitization leading Innovation
More Video
7X
Mobile Traffic Increase
More IoT
HALF
Connected Devices Are M2M
5G Journey Begin
4.7X
Traffic of LTE
4X
Cloud Traffic Increase
More Cloudification
0
10
20
30
40
50
60
2016 2017 2018 2019 2020 2021
2G 3G 4G 5G
79%
19%
Exabytes
per Month
69%
24%
1.5%
Source: Cisco VNI Global Mobile Data Traffic Forecast, 2016–2021
2016 2021
4G 2.4 GB/Mo 6.3 GB/Mo
5G - 40 GB/Mo
 Generated traffic
Digitization5GTraffic

3. © 2017 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
Telecom Operators under Intense Pressure
Operators account for shrinking share of overall telecom industry profit despite their central
role in the ecosystem
Source: World Economic Forum, Accenture
Insatiable consumer demand
for more bandwidth and
better “value”
Endless and ever increasing
spend on network capacity
and coverage
Web-scale
substitution
& free-riding
Peer /
market
pressure

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Service Providers’ biggest Challenges
Challenges Strategy
Operation Efficiency through
Network Automation
Secure Business Agility through
Virtualization
Network Transformation through
Best Optimized Architecture
“Network for IoT, Enhanced 5G service”
1
2
3
• Bandwidth consumption is growing; our revenue
is not. (CAPEX Pressures, Shift to OPEX focus)
• Web scale breaks our current cost and design
models.
• I need compelling services to retain and grow my
subscriber base.
• l don’t want to be locked into a single vendor
network.
• Legacy systems have made my networks very
high touch
• Need to improve Customer Experience with
Security and Compliance

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SP Revenue Growth Opportunity
Core
$
Automotive Healthcare
Transport
Utilities
Consumer
Today
Operator business mostly focused on
the saturated consumer market
Source: European Commission Report, 2016
Source: Cisco VNI Global Mobile Data Traffic Forecast, 2015–2020
Core
$
Automotive
Healthcare
Transport
Utilities
Consumer
2025
Network stratregy to engage in new
vertical markets (B2B)
Core
$
Automotive
Healthcare
Transport
Utilities
Consumer
2020
Vertically targeted services will
accelerate operator business growth

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Network Design Improvement
1~3 Month
Automated
Operation thru
NSO
Legacy Network -
Manual
operation
1~3 Hours
(10 to 15 Mins)
“Automation” “SDN/NFV” “Architecture Transformation”
• Need to learn
multi-vendor
equipment
commands
• Takes long time to
plan service
creation, change,
removal by vendors
• No need to learn
multi-vendor
equipment
commands
• Can reduce work
operation hours
• OPEX saving and
operation
excellence
Policy based
Automation /
Virtual Network
Separated HW
based Network
• Increase Service
agility and time-to-
market benefit
• TCO Saving
• Support various
value added service
based on
programmability
• Need separate PNF
by each customer
• Low service velocity
• Large TCO
“Secure Network efficiency
through distrubuted Cloud
Architecture”
• Network design suitable to new business,
such as 5G, IoT
• Distributed Datacenter architecture for
efficient traffic processing
• Optimize resource and increase service
velocity through virtualization
Network from
the Service
point of View
Service from
the Network
point of view
Fixed
Mobile
B2B
. . .
Distributed Datacenter
Fixed
Mobile
B2B
Improve
Biz agility TCO Increase
Svc continuity
Fixed
Mobile
B2B

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Automation
Network
Engineer
Service
Applications
Automation Solution
(NSO)
PNFs
VNFs
Network Service Automation solution based on standard
Service request
Real-time
Service config
Product Provisioning thru Automation tool
 Automatic provisioining based on Modeling
 Fast process for service add, change, delete
 Multi-vendor support thru NEDs
References
 Sites : AT&T, DT, Comcast, etc
 Cases : MPLS L2/L3 VPN, etc
Standardize config information
 Manage standard based config information
 Minimize Human error
 Easy to add and delete config information
Cisco / Juniper / Huawei, etc

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Effect through Automation and Virtualization
AS-IS
100
Work
plan
docume
ntation
(21,868)
Work
hour
(17,314)
Trouble
shooting
(29)
57
Work
plan
docume
ntation
(9,649)
Work
hour
(10,024)
Trouble
shooting
(20)
20 ~ 30
service
delivery
Trouble
shooting
Work
operation
56% saving
42% saving
31%
improvement
25% saving
27% saving
Telco A simulation result (for IP Core & Edge)
Based on Softbank case study (for Cloud VPN)
[Major saving items]
• Simplify overall work process through
YANG modeling
• Reduce work hours through config
automation
• Protect human error
[Major saving items]
• Reduce service delivery time because of
no physical work
• Reduce work hour for service add /
change / remove
• Reduce TCO through virtualization
based service
No
change
Automation
Virtualization

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Virtualization – Use Case
Customer A
Customer B
Customer Z
Telco DC
Service concept
• Customer office is connected with Telco
through IP SEC
• FW, IPS, WLC are located at Telco’s
DC, not at customer office
Benefits for SMB
• Save office cost and power cost
(U$200 / month based on
60 employee)
• Get Telco’s operators support 24X7
• Fast service launch
Benefits for Telco
• No Truck roll
• Fast service delivery
• CAPEX saving
WLC
VM
FW
VM
IPS
Container
FW
Container
Managed Service Virtual Managed Service

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Architecture Transformation – Traffic Pattern
FTTH HFCLAN
Internet
BB
Edge
MobileVoIP
VoIP
Consumer
VoD
Internet / LTE / B2B
Data
Core
Within Metro
Core - Regional
Core –
Cross-Country
58%
20%
22%
41%
23%
35%
2016 2021
Source: Cisco VNI Global IP Traffic Forecast, 2017–2021

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Architecture Transformation
FTTH HFCLAN
Internet
BB
Edge
MobileVoIP
VoIP
Consumer
VoD
Internet / LTE / B2B
Data
Core
 Network topology for
North <-> South traffic
 Not efficient for real-time
big data analytics and
streaming video data
FTTH HFCLAN
MobileVoIP
Consumer
Data
Distributed Cloud Core
Internet VoIPVoD
Interent / LTE / B2B
 Recommended topology for East <-> West traffic
 Distributed core architecture for real-time big
data analytics and video streaming
 Architecture suitable to accommodate 5G, IoT
through network slicing)
 Serviced based virtualization Network
vCPE
VM
vOLT
VM
CachevFW
VM VM
Virtualized (NFV) service zone
Internet VoIPVoD
FTTH HFCLAN
MobileVoIP
Consumer
Data
 Distribute X center nodes to XX center nodes
(need to discuss together)
 Design Service oriented network through
virtualization
 Apply application based SDN routing (Segment
Routing)
AS-IS TO-BE

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5G Architecture
Fronthaul backhaul
C-RAN
vCore
User plane
Analytics/
Telemetry
NSO
WAE
Automate
IP Edge
Central Datacenter
SR SR SR SR
vCore
User plane
Managed
Video
vCore
Control plane
MEC
E2E Network Slicing
E2E Security
5G Architecture
IP Core
SR
Single Pane of Glass Management and Orchestration
5G
Small Cell
Wifi
LPWA
backhaul
IP Edge
Central Datacenter
EPC
4G Architecture
IP CoreRU DU
CPRI
Backhaul aggregation
Decomposed and virtualized Decomposed & Virtualized & Distributed
eNodeB

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5G - Mobility
IoT Core NW
Streaming
Cam Core NW
MBB Core
Network Slicing
Fronthaul
C-RAN
Backhaul
vCore
WAN
Controller
Enterprise
Cloud Scale Networking with Cloud RAN / SD-WAN
vCore
User
plane
Managed
Video
MEC
C-RAN
BackhaulFronthaul
vCore
Control plane
Mobile network to scale with video using MEC
xHaul
vCore
User plane
Enterprise
vCore
User plane
vCore
Control plane
Internet
• Charging and Policy
• Authentication and Security
• Legal Intercept
CUPS : Control/User Plane Separation
xHaul

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5G – Network Slicing
User Plane 1
User Plane 3
Tenant 1
PE PE
Control
Plane
Tenant 2 Tenant 3
VPN 1
VPN 2
VPN 3
NSO, WAE, Analytic Engine
User Plane 2
Ent 1
IoT
Consumer
Policy / Slice
selection
Micro DC
ACI / VxLAN
IP Transport
Segment Routing
EPC
CUPS

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5G – Edge Cloud
vCore
User plane
Managed
Video
MEC
C-RAN
BackhaulFronthaul
vCore
User plane
Distributed Datacenter Architecture
Analytics/
Telemetry
NSO
WAE
Automate
Central Datacenter
IP CoreEdge
vCore
Control plane
* Micro Datacenter
• Ultra low latency infra with large volume traffic
o Need to offload video traffic (82% at 2021) at edge
o Need to manage east-west traffic at edge
• Distributed Micro datacenter for vRAN and User plane
• Caching to offload video traffic (MEC) at edge
• ACI with ”Remote Leaf” (Q4CY17) or “Multi-PoD”
5G Requirement Distributed Datacenter

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5G – Types of Datacenter Fabric
Integrated SDN - ACI
• Extremely Easy Fabric automation
• FCAPS with Day 1 & 2 operations
• Matured Technology
VTSCreation Expansion
Fault MgmtReporting
Connection
• Decouped SDN controller from Physical fabric
• Needs external tools for FCAPS
• Relatively complex to design implement and
operate
DCNM
• Programmable switches with Open
interfaces for customized automation
• Consider complexity to design,
implement, and operate
Decoupled SDN - VxLAN Open Platform
Fault
Accounting
Performance
Security
Configuration
Integrated
Tools
External
Tools
Integrated
Tools
External
Tools
Cisco Controller 3rd Party Controller
External
Tools
Simplification and time-to-market In-house solution and integration

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5G - Security
vCore
User plane
xHaul
vCore
User plane
Infrastructure Security
Analytics/
Telemetry
NSO
WAE
Automate
Central Datacenter
IP CoreEdge
vCore
Control plane
• End-to-End network visibility from SP Core to customer premise
• Consistent polices across network, datacenter and virtualization
• Detect and mitigate advance threats across CPE, cloud, and
network
• Segmentation : Reduce the attack surface (Umbrella)
• Visibility and Analytics : See everything (Staelth Watch)
• Threat Prevention : Stop the breach
Consideration for 5G Security 5G Security Architecture
SecGW SecGW
FW/IPS
FW/IPS
Internet
NAT DDoS
DDoS

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5G Requirements – 5G Services
Radio Site DC Backhaul Aggregation Core Network
Border
Central DC
Backhaul Core Network
Border
Central DC
Radio Site DC
Aggregation
Remote DC
Radio Site DC Backhaul Core Network
Border
Central DCAggregation
Remote DC
Radio Site DC Backhaul Core Network
Border
Central DC
Aggregation
Remote DC
Radio Site DC Backhaul Core Network
Border
Central DCAggregation
Remote DCTactile
Radio Site DC Backhaul Core Network
Border
Central DC
Aggregation
Remote DC
InternetBackhaul Core

19. © 2017 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
5G Requirements – 5G Services
Radio Site DC Backhaul
Aggregation
Remote DC
Core Network
Central DC
Border
4) Tactile Internet
2) IoT
6) Enterprise Services
1) AR & VR
3) High Speed Internet
5) Video Services (incl VOD)
Radio Site DC
Radio Site DC
Radio Site DC
Radio Site DC
Radio Site DC
Radio Site DC
Backhaul
Backhaul
Backhaul
Backhaul
Backhaul
Backhaul
Core Network
Core Network
Core Network
Core Network
Core Network
Core Network
Border
Border
Border
Border
Border
Border
Central DC
Central DC
Central DC
Central DC
Central DC
Central DC
Aggregation
Aggregation
Aggregation
Aggregation
Aggregation
Aggregation
Remote DC
Remote DC
Remote DC
Remote DC
Remote DC
Orchestration & Automation
1) Network Convergence (Segment Routing)
2) E2E Network Slicing
3) Network Function Virtualization
4) Control and User Plane Separation
5) Orchestration & Automation

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Segment Routing
Simplified Routing Protocol
Simplified Carrier Ethernet
Autonomic &
Segment Routing
BGP & SDNT-LDP
BGP
RFC 3107
RSVP-TE
MPLS-LDP
IGP & IP
Application Enabled Source Routing
Native IPv6 transport
1 0
Dynamic-path
Explicit-path
SRv6 without
MPLS Label
With Automation
WAN Automation and optimization
SDN based peering and optimization
SDN WAN
controller
SDN Peering
controller
DC WAN
HOST
Peer’s
ISP
ISP
ISP
WAN
Segment Routing Benefits

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Telemetry
Data collection - Legacy
SNMP
Server
Syslog
Collector
CLI
SNMP
SyslogNon real
time
Scripts
Storage &
analysis
• Scale issues / unstructured / incomplete
• Strong burden on back-end for normalization of different
encodings, transports, data models, timestamps
Data collection - Telemetry
• Free the data
Real
time
Telemetry Analytics
As much Data
As Fast
As Useful
As Easy
As Possible
Hardward and Software Sensors - Telemetry
Sensing &
Measurement
Control Plane events, state & stats
• Resource utilization (CPU, Mem, buffers)
• Environmental properties (temp, fans)
• L3 protocol state and stats
Data Plane events, state & stats
• SPAN/ERSPAN on drop
• Flow table – events (Forwarding drops, policy
drops, latency, bueefr drops…)
• SSX (Streaming stats eXchange) & eCPU stats,
TCAM util, RMON counters

22. © 2017 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
Advanced Network Automation
Network Data Platform
Data Collectors
Machine
Learning
and Analytics
Derive
Actionable Insight
(Data Analytics)
Multi Layer Topology
Optical, Routing, Overlay
1 Extract Data from the Network
Streaming
Telemetry
Open APIs
Network
State
Path
Optimization
Network
Planning
Device Life Cycle
Management
Security
Dos, DDoS: Detection,
Prevention, Remediation
Service Deployment Automation
Deploy, Manage, Optimize
Automate Network Operations
Configure,
Provision Apps
2
3

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Case Study – OTT Datacenter Complex (1/2)

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Case Study – OTT’s Automation and Operation Efficiency(2/2)
• Operation efficiency is a key in the hyper, web or
massively scalable datacenters
• Much of this efficiency is based on the reduction or
elimination of human to machine interaction unless
absolutely necessary.
• Configuration, Orchestration, Standup, Provisioning, etc
are all handled in a machine to machine basis for hosts
and network devices
• NOC is all software
• Everyone writes code
• 1 sysadmin to every 50,000 servers
• 1 Network Engineer to every 5,000 network devices
• Automate everywhere
• It is not an issue of if, it is an issue of where and
how often
• Remediation
• Up to 98% of all in app, on host, in network
events remediated with ZERO human intervention
• Service Requests opened with Cisco TAC directly
from their FBAR system. Time reduction on case
open to case close is at 60%.
Automation Prerequisite Automation Effect

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Cisco Crosswork Network Automation Solution
Change Automation
Network Insights SaaS
Situation Manager
Health Insights
Data Platform
Cisco NSO
Cisco WAE
Current
Products
New
Additions
Foundational, the basis of multi-vendor Intent Driven Networking
Multi-layer network optimization
Enables closed-loop automation
Monitor device health and enable event-driven networking
Cloud based analytics platform focused on network insights
Machine Learning based event correlation + social troubleshooting to reduce MTTR
Unified data collection tool that brings data lake capabilities to automation

26. © 2017 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
Reliance Jio – Disrupting Highly Competitive Market
• Quicker introduction of new
services
• Faster time to revenue
• Launch next generation services
• Enable new business models and
new breed of partners / customers
• Higher service quality and customer
retention
• Avoid overinvestment by “evening-
out” network loads
• Increased competitiveness
• Support penetration pricing vs.
incumbents
Business Benefits
Solution Characteristics
• Simplification and Automation of
service provisioning
• Open APIs, standards based on
virtualized network functions
• Network optimization based on
real-time service demands and
traffic patterns
• Cost efficiency vs. traditional,
non-SDN technology approach
Market Disruption!
• 0100Mn subs in 6 months
• Top 4 out of 10 in 6 months
• 15Mn+ new adds per month
• 2800 n/w sites deployed per wk
• EBIT positive since 1st quarter
• Breadth of services from start
• Hyper-low “Sachet” pricing
• Wealth and variety of partners

27. © 2017 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
Summary
Network
Transformatio
n
VirtualizationAutomation
New business capabilities built on the network as the platform;
Enabling customers to achieve business outcomes faster with ease-of-operation