2
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4
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11
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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
WHY ?!
Care about Edge
Computing ?
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.
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.
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.
What does market
say ?
81%
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.
72%
The average anticipated
annual revenue growth
for IoT edge vendors by
2018 end
WHAT ?!
Is Edge Computing ?
The Edge Computing
● Edge computing is optimization of cloud, to move the
compute close to the source of data, to the edge
11
Sensors and
controllers
Edge
●
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
The Edge Computing Characteristics
● Geographically distributed
● Scalable
● Autonomous and distributed
● Edge computing is contextual and low latency
● Real-time interactions
● Heterogeneous
Benefits of Edge Computing
13
C
ost
Ef
ective
S
ecu
re
Faster
R
esp
on
se
R
eliab
le
op
eration
s
●
Locally stored
●
No theft during transport
●
Compliance maintained
Secure
●
Can work without
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
Network
Challenges of Edge
Deployments
Not simple !
1515
Post deployment, Monitoring and Managing Edge Infrastructure
becomes a nightmare as deployments are:
Open to environment
Price sensitive/no
redundancy
Remotely locatedComplex
Maintenance Criticality
Day-to-Day Edge Operational Challenges
16
Temperature
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 ..
Manageability Challenges
17
Where to start debugging from Truck rolls to the site
Cloud tools lacks holistic
view of complete Edge
Infrastructure
Management and Control Model
18
IoT
Devices
IoT Edge
Infrastructure
Cloud
IoT
Gateway
IoT
Gateway
Server Network
Switch
Storage
Internet
Gateway
Edge Controller at cloud
Edge Controller on premise
THANKS!
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
Backup
The Fog, Edge and Mist Computing
https://medium.com/@YogeshMalik/fog-computing-edge-computing-mist-
computing-cloud-computing-fluid-computing-ed965617d8f3

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Edge Computing

  • 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. WHY ?! 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.
  • 7. 81% 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. 72% 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. 11 Sensors and controllers Edge ● 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 C ost Ef ective S ecu re Faster R esp on se R eliab le op eration s ● Locally stored ● No theft during transport ● Compliance maintained Secure ● Can work without 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 Network
  • 15. 1515 Post deployment, Monitoring and Managing Edge Infrastructure becomes a nightmare as deployments are: Open to environment Price sensitive/no redundancy Remotely locatedComplex Maintenance Criticality
  • 16. Day-to-Day Edge Operational Challenges 16 Temperature 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 18 IoT Devices IoT Edge Infrastructure Cloud IoT Gateway IoT Gateway Server Network Switch Storage Internet Gateway Edge Controller at cloud Edge Controller on premise
  • 19. THANKS! Any questions? You can find me at [email protected] / 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
  • 21. The Fog, Edge and Mist Computing