SlideShare a Scribd company logo
Understanding
the Shift to Edge
Computing
Aparna Pujar
Founder and CEO
@apujar_ca
@Enfavr
By 2025
175 ZB
23X
150B
Devices
By 2025
An Always-on Sensorized World
6B
People
90 ZB
Real Time Data
Biggest Contributors
Cloud Computing as
we know is changing
dramatically
Cost
Volume of
Data
Efficiency of
Processing
Evolution of Computing
Social Web Could Enabled
Applications
2010s
2020s
Distributed
Distributed
Distributed
Large Individual
Servers
Terminals and
Mainframe
Multiple
Distributed Servers
Server Farms Virtualized and
Software defined
Centralized
Centralized
Virtualized and
Software defined
Edge
Mobile Computing Smart Devices
Edge Computing at a glance
CLOUD
DATA CENTERS
EDGE
DEVICES
EDGE
FOG
CLOUD
DEVICES
NODES
DATA CENTERS
The Ultimate
Edge Computing
Device
• 65 CPUS
• 8 Cameras with 360 deg FOV
• 12 Ultrasonic Sensors
• Neural Net Sonar and Radar
Processing
• 10 GB Data generated/mile
The Shift to
Edge Computing
• Drivers
• Restraints
• Opportunities
• Challenges
AR/VR/MR Connected Cars
Smart Cities Internet of Things
Drivers
• IoT Security ranks as a top concern for
many organizations
• Mirai (2016)
• Keeping track of devices on an
organization’s network
• Laissez faire attitude towards security of
mobile and IoT applications
• Pressure to bring products to markets
quickly
Restraints
• Advent of the 5G network
• Manufacturing
• Hardware
• Auto Tech
Opportunities
Challenges
Edge Computing Today
• Most consider this still in its infancy
– 5G is the enabler
– Telecom Companies implementing/expanding Edge
Computing
– IoT Technology
– Hardware / Chips
– Cloud Applications
– AI
Q&A
THANK YOU
Aparna Pujar
@apujar_ca
@Enfavr

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