Understanding the Shift to Edge Computing Edge computing is growing dramatically due to the increasing volume of real-time data from billions of devices. By 2025, there will be 175 zettabytes of data generated annually from 6 billion people and 150 billion devices. Edge computing is evolving from centralized cloud and data centers to distributed devices, fog nodes, and edge servers located closer to the data sources. This shift is driven by cost, data volume, and processing efficiency concerns but also faces security and implementation challenges that companies are working to address through new technologies like 5G networks, AI, and specialized edge computing hardware.

1. Understanding
the Shift to Edge
Computing
Aparna Pujar
Founder and CEO
@apujar_ca
@Enfavr

2. By 2025
175 ZB
23X

3. 150B
Devices
By 2025
An Always-on Sensorized World
6B
People
90 ZB
Real Time Data

4. Biggest Contributors

5. Cloud Computing as
we know is changing
dramatically
Cost
Volume of
Data
Efficiency of
Processing

6. 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

7. Edge Computing at a glance
CLOUD
DATA CENTERS
EDGE
DEVICES
EDGE
FOG
CLOUD
DEVICES
NODES
DATA CENTERS

8. 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

9. The Shift to
Edge Computing
• Drivers
• Restraints
• Opportunities
• Challenges

10. AR/VR/MR Connected Cars
Smart Cities Internet of Things
Drivers

11. • 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

12. • Advent of the 5G network
• Manufacturing
• Hardware
• Auto Tech
Opportunities

13. Challenges

14. 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

15. Q&A
THANK YOU
Aparna Pujar
@apujar_ca
@Enfavr