edge

1. Edge Computing
IEEE ComSoc workshop on Evolution of Data-centers in the context of
5G
Chetan Kumar S
Co-founder and CEO, Aikaan Labs Pvt Ltd

2. W H Y ?!
Care about Edge
Computing ?

3. Applications that require Autonomy
● Completing tasks with
little or no human
interaction
– Self Driving Cars
– Industry 4.0
● It’s pretty obvious that
ingesting data to a distant
cloud a realistic option.

4. Applications that can’t tolerate Latency
● Latency can be reason
for failure
– Health care
– Financial transactions
● It’s pretty obvious that
ingesting data to a distant
cloud isn’t a realistic option.

5. Applications that require significant Bandwidth
● Generate significant
amount of data
– Smart Surveillance
system
● It’s pretty obvious that
ingesting data to a distant
cloud isn’t a realistic option.

6. What does market
say ?

7. 8 1 %
Increase in revenue of
edge computing by 2018
end
North America (with 31 percent of revenue) and Europe
(with 35 percent) will see the biggest jumps.

8. 7 2 %
The average anticipated
annual revenue growth
for IoT edge vendors by
2018 end

9. WHAT ?!
Is Edge Computing ?

10. The Edge Computing
● Edge computing is optimization of cloud, to move the
compute close to the source of data, to the edge

11. 1
Sensors and
controllers
Edg e
●
●
●
●
Real time data processing
Real time control (M2M)
Local data filtering and caching
At source data visualization
Cloud
●
●
Central processing of summary
data
Big data analysis, complex
learning model
●
Central control
IoT
Gateway
IoT
Gateway
Server
Network
Switch Storage
Internet
Gateway
Cloud Apps
The Edge Computing
Internet
Intra net
Proximity

12. The Edge Computing Characteristics
● Geographically distributed
● Scalable
● Autonomous and distributed
● Edge computing is contextual and low latency
● Real-time interactions
● Heterogeneous

13. Benefits of Edge Computing
13
●
●
●
Locally stored
No theft during transport
Compliance maintained
S ecure
●
without
Can work
connectivity.
Reliable Operations
●
Operating at the
source of data
●
Faster response time
for triggers
Faster Response
●
●
No need to transport
everything to cloud
No recurring cost
Cost Effective
Edge
N etwork

14. Challenges of Edge
Deployments
Not simple !

15. 15
Post deployment, Monitoring and Managing Edge Infrastructure
becomes a nightmare as deployments are:
Open to environment
Price sensitive/no
redundancy
Remotely located
Complex
Maintenance Criticality

16. Day-to-Day Edge Operational Challenges
1
T
emperature
sensor data
received on
time ?
Is IOT
network
Overloaded ?
No data after
a rainy day;
network down,
sensor issue ?
Traffic Lights
and Camera
not in Sync ..

17. Manageability Challenges
17
Where to start debugging from Truck rolls to the site
Cloud tools lacks holistic
view of complete Edge
Infrastructure

18. Management and Control Model
1
Cloud
IoT Edge Internet
Infrastructure
Gateway
Server Network Storage
Switch
IoT IoT
Gateway Gateway
IoT
D evices
Edge Controller at cloud
Edge Controller on premise

19. THA N K S !
Any questions?
You can find me at
chetansk@ aikaan.io /twitter @ chetansk
www.aikaan.io
Disclaimer: Acknowledge all owners of the images and video used in this
presentation, used for knowledge sharing purpose, no commercial usage intended

20. Backup

21. The Fog, Edge and Mist Computing

22. https://medium.com/@YogeshMalik/fog-computing-edge-computing-mist
computing-cloud-computing-fluid-computing-ed965617d8f3