how edge computing can power the next mobile internet economy
TRANSCRIPT
How Edge
Computing can
power the next
mobile internet
economy
Shamik MishraGlobal Industry Chief ArchitectResearch & Innovation
November 20th, 2019
CHALLENGES FACED BY COMMUNICATION NETWORKS TODAY
Reliability
50% Higher Reliability Required 80% Higher Speed Required 4x Higher QoE Needed 40x Cost Reduction Needed
Source: Cisco VNI Global Traffic Forecast, 2016–2021.
Extra human workforce …
will not help. It is impossible for human to analyze petabytes of data within seconds to take real-time decisions.
Traditional tools …
will not work. Traditional tools don‘t have the power to analyze heterogeneous data at ultra high speed.
Current solutions …
will not suffice. Existing solutions are inflexible and can’t change their course of action based on circumstances.
2 Future of Networks and Compute. Research and Innovation
Speed QoE RoI
LOW LATENCY COMMUNICATION: CAN IMPROVE CUSTOMER EXPERIENCE
Band
wid
th
Latency
10Kbps
1Mbps
100Mbps
10Gbps Low latency
Reliable packet
delivery
Flexibility
Dynamics
Co-existence
with
Non-
Deterministic
zero jitter
VR Vehicles VRAN
Real Tim
e
Tim
e
Sensi
tive
Tim
e C
ritica
l
System Control
Less than
10 ms
10s of ms 1ms
Existing
Services
3 Future of Networks and Compute. Research and Innovation
LOW LATENCY APPLICATIONS ARE BECOMING PERVASIVE
Use casesLatency
[ms]
Jitter
[ms]
Packet loss
[%]
Data rate
[Mbps]
Real-time gaming < 10 < 5 < 0.1 % < 1
Real-time video < 3 ~ 10 < 2 ~ 5 Near-lossless 100 ~ 20,000
Robotics and
industrial
automation
Equipment
control
< 1 ~ 10 < 0.2~2 Near-lossless < 1
Human safety < 1~ 10 < 0.2 ~ 2 Near-lossless < 1
Haptic
technology
<1~5 <0.2~2 Lossless <1
Drone control <100 <10 Lossless <1
>100 with video
4 Future of Networks and Compute. Research and Innovation
High Latency
Operator
Uses Cloud Computing and App-stores
Developer
Cloud
Service Platforms
5G brings low latency
Virtualization gives access of cloud technologies to Operators
Edge Platforms
WHAT IS EDGE COMPUTING?
Enables New Devices & Services
Developers gets access to Operator’s Network
Apps close to
user
Cost Savings on data
transfer to Internet
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5 Future of Networks and Compute. Research and Innovation
EDGE COMPUTE: DISTRIBUTING CLOUD?
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6 Future of Networks and Compute. Research and Innovation
Cloud
Operator1
Service
Distributing Smaller Clouds throughout the distance
Client
Operator2 Operator3
Telecom Operators can collaborate on Network (Roaming), they can also collaborate on “compute” (edge clouds)
EDGE COMPUTE: THE APPLICATION DEVELOPER
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7 Future of Networks and Compute. Research and Innovation
Use case
development is a key
challenge, so that
these use cases are
repeatable across
clients.
01
Application
Developer
ecosystem is
currently with public
cloud players.
02
Edge Computing is
the “most” important
element for Operator
to monetize 5G
03
New Application and
devices will drive Edge
Computing Innovation
04
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EDGE COMPUTING: VIDEO STREAMING
Reduces the latency for users and
improves user experience.
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EDGE COMPUTING: A/R & V/R
Low Latency improves the Quality of
Experience
9 Future of Networks and Compute. Research and Innovation
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EDGE COMPUTING: SMART MANUFACTURING
Industrial IoT and derive
productivity
improvement through
analytics at the edge and
save backhaul data
transport costs
10 Future of Networks and Compute. Research and Innovation
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EDGE COMPUTING: STADIUMS
Connected Fan experience through real-
time video experience applications
11 Future of Networks and Compute. Research and Innovation
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EDGE COMPUTING: DRONES
Edge Computing can enhance
and optimize 5G connectivity for
efficient performance of
autonomous drones
12 Future of Networks and Compute. Research and Innovation
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EDGE COMPUTING: AUTONOMOUS VEHICLES
Evolving connected and autonomous
vehicles by increasing network and
compute capacity to support
connectivity and data on Edge
13 Future of Networks and Compute. Research and Innovation
New Revenue Streams
Commercial applications, consumer
applications, Enterprise apps, IoT,
Gaming
Cost Reduction
Transport and Backhaul cost savings
Analysing data at the edge, Video or
content caching
Productivity &
Operational Efficiency
Run IT applications, billing and data
records closer to the end user. Save on
storage. Monitoring & surveillance
software
EDGE COMPUTING: BUSINESS DRIVERS
14 Future of Networks and Compute. Research and Innovation
Application Developers
What does a developer
require from a Edge
Compute provider
Device Makers
Do they see edge as an
advantage
Enterprises
Are they
interested in
Edge? Why?
Operators
How will
they
monetize
edge? How
will they
manage
edge?
EDGE COMPUTING STAKEHOLDERS
EDGE NATIVE APPLICATIONS IS THE CONVERGENCE OF LOW LATENCY,
NEXT GENERATION DEVICES AND AI
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Future of Networks and Compute. Research and Innovation16
Higher Speed, Lower latency
Inte
rac
tive
, A
uto
no
my
Online retail
Internet sites
Web,
Mobile Applications
Video
Smart Industry
Drones
Digital Twins
Autonomous Vehicles
Multi-Player Gaming
PC Smart Phones Next-Generation IoT
Intelligent &
CognitiveA/R & V/R
Edge Native
BUSINESS MODEL FOR CONSUMER EDGE
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Future of Networks and Compute. Research and Innovation17
Operator
Developers
Consumers
App Stores
B2B
B2C
B2B
B2C
Operator #1
Developers
Consumers
App Stores
B2B
B2C
B2B
B2C
Aggregator
Operator #1
Consumers
B2B
B2C
B2B
BUSINESS MODEL FOR CONSUMER EDGE: FEDERATING OPERATORS
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Future of Networks and Compute. Research and Innovation18
Operator #1
Developers
Consumers
App Stores
B2C
B2B
B2C
Federation
Operator #1
Consumers
B2C
B2B
Developers
B2B
App Stores
B2C
B2B
Revenue Share
19
Lift and Shift
• Virtualizing Physical Network
functions
• Single Vendor Solutions.
Monolithic Networking gear
• 6-9 months to onboard
virtualized solutions
• Minimal Automation
Introduction of Stacked Apps
• Infrastructure-as-a-service
evolves to support network-as-
a-service
• 3-5 months to onboard
applications
• Verification. Basic scaling
• Multi-Vendor Solution for
Software Defined Networking
Cloud Native
• Resilient cloud platforms
• Container and Cloud Native
Micro-service based
implementations
• 1-2 months on onboarding
• Auto-scaling of applications
• Automated Installation and
Management with DevOps
Autonomous Network
• Highly distributed Edge Clouds
• AI / ML to Optimize networks
• Serverless compute, real-time
intelligence, and machine
learning
• application onboarding in
minutes
• Self Healing and Optimized
networks
• Automated Operations
• Global Scale federated
operations
Today
Pre-Production
Research
TELECOM NETWORK – INNOVATION AT THE EDGE
Intelligent Networks
Virtualized Networks
Automation & Scale
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SUMMARY – KEY TAKEAWAYS
20 Future of Networks and Compute. Research and Innovation
Edge Computing has the potential to create a complete new economy for digital applications
Telecom Operators with their location and network advantage are the most suited edge cloud
providers
Application developers, enterprises and device makers can see edge compute as an advantage
“Edge Native” applications converges the three distinct technologies like next-gen devices,
artificial intelligence and low-latency networking
Network Operators can benefit from both B2B and B2C revenue models by collaborating with
each other
2020
People
1.5 GB per day
Smart
Home
50 GB per day
Autonomous
Vehicle
5 TB per day
Smart
Office
150 GB per day
Stadium
200 TB per game
Connected
Factory
1 PB per day
Smart City
250 PB per day
Smart Devices
20 B IoT Devices
Source: Amalgamation of analyst data
EDGE
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