Edge computing allows data produced by internet of things (IoT) devices to be processed closer to where it is created instead of sending it across long routes to data centers or clouds. Doing this computing closer to the edge of the network lets organizations analyze important data in near real-time – a need of organizations across many industries, including manufacturing, health care, telecommunications and finance.Edge computing deployments are ideal in a variety of circumstances. One is when IoT devices have poor connectivity and it’s not efficient for IoT devices to be constantly connected to a central cloud. Other use cases have to do with latency-sensitive processing of information. Edge computing reduces latency because data does not have to traverse over a network to a data center or cloud for processing. This is ideal for situations where latencies of milliseconds can be untenable, such as in financial services or manufacturing.

1. • SAI RAM. E
• 17311A12E8
• ITF3
EDGE COMPUTING

2. Contents
INTRODUCTION
• Cloud Infrastructure
• What is Cloud Computing?
• How are we(users/devices) connected to the cloud?
• Challenges of Cloud Computing
• What is Edge Computing?
• Benefits of Edge Computing over Cloud Computing
• Applications

3. IOT : THE RIGHT FIT
FOR EDGE

4. CLOUD COMPUTING

5. Our Changing Digital World
#GHC18
Increased demand
for low latency
Devices generating
more data
More devicesonline
Machine learning
in themainstream
Cheaper sensors
Data privacy
regulations

6. BIG DATA ?NOT EVEN THE
BEGINNING
80GB / DAY 500GB / FLIGHT6

7. TIMING IS
KEY
HTTP DELAY = 1s
1s = 30ROTATION
7

8. #GHC18 PlatformStorageNetworkServers
Applications
The Cloud

9. WHAT IS CLOUD?

11. #GHC18
The Cloud

12. HOW ARE WE CONNECTED TO THE CLOUD?

14. Facebook datacenters
•Los Lunas, NM
•Prineville, OR
•Forest City, NC
•Altoona, IA
•Fort Worth, TX
•New Albany, OH
•Clonee, Ireland
•Lulea, Sweden
•Odense, Denmark

15. GOOGLE DATA CENTER
Changhua County, Taiwan. -ASIA

16. Without Edge Servers

17. With Edge servers

18. CLOUD COMPUTING SERVICE PROVIDERS
• MICROSOFT AZURE
• AMAZON WEB SERVICES
• GOOGLE CLOUD PLATFORM

19. CHALLENGES OF CLOUD COMPUTING

20. Challenges of Cloud Computing
1. High latency
2. Data Privacy

21. #GHC18
“To achieve a round-trip time (RTT) of less than 1 millisecond,
the maximum distance between a mobile device and a cloud
can be no greater than around100km.”
1.A Speed of Light Problem(HIGH LATENCY)

22. Real Time Example
• Current commercial fibre optic technology
allows data to travel as fast as 2/3 the
speed of light, moving from New York to
San Francisco in about 21
milliseconds.(4148 km) the “last mile”
can add anywhere between 10 to 65
milliseconds of latency.
• While that sounds fast, it fails to consider
the sheer amount of data being
transmitted. With the world expected to
generate up to 44 zettabytes (one
zettabyte equals a trillion gigabytes) of
data in 2020, digital traffic jams are almost
guaranteed.

23. REAL TIME EXAMPLE OF CLOUD COMPUTING

24. Cloud for online multiplayer Gaming

25. CHOOSING THE RIGHTSOLUTION
EDGE COMPUTING

26. EDGE COMPUTING
BRINGING THE INTERNET
CLOSER TO YOU..!!

27. #GHC18
Edge computing is the process of offloading compute
and storage from the centralized Cloud to the
network’s logical extremes.
cloud
edge edge edge

30. Benefits of Edge Computing
• SPEED
• SECURITY
• SCALABILITY
• VERSATILITY
• RELIABILITY
• Given the security advantages provided by edge computing, it should
not come as a surprise that it offers better reliability as well. With IoT
edge computing devices and edge data centers positioned closer to
end users, there is less chance of a network problem in a distant
location affecting local customers

31. #GHC18
1. Eases the network bottleneck !
2. Provides ultra-low latency⚡
3. Supports local data processing
#
4. Enables previously
impossible applications! $
Edge Computing…

32. Applications or Use Cases
• 5G applications: The responsiveness and bandwidth will be expected to be
significantly high as 5G communication is projected to perform upwards of 1000x
faster than 4G. This means you’ll be able to download a full HD movie in a matter
of seconds. To achieve this, small data centres will be required. Edge computing
will play a pivotal role here.
• Smart Cities: It will be a connected world out there, which will be based on
reliable sensors, storage and security. From transportation to buildings to
streetlights, everything will be connected. Even your homes will become smarter.
Every application will have to have a strong responsive system and edge
computing can make smart cities a hit.
• Self Driving Cars:

33. Video Streaming
Edge computing is an exciting
cloud network advancement
that can lower latency for live
streaming video and cloud
gaming. The greatest probability
of network congestion is from
high bandwidth video content.
As we see from Fig VoD, 4K TV,
and video streaming are the
fastest growing high bandwidth
applications.

35. Applications
• There are three primary applications of Edge Computing we will
discuss
• high bandwidth content distribution
• 1. A tool to gather massive information from local “things” as an
aggregation and control point.
• 2. A local storage and delivery provider of bandwidth-intensive
content as part of a content distribution network.
• 3. An on-premise application and process tool to replicate cloud
services and isolate the data center from the public cloud.

36. Developments
• Project Airgig
• AT&T Labs invented items like low-cost plastic antennas, a radio distributed
antenna system (RDAS), mmWave surface wave launchers and inductive
power devices. The RDAS reconstructs signals for multi-gigabit mobile and
fixed deployments. With the RDAS, we found a system design to effectively
deliver not just broadband, but also mobile traffic. The mmWave surface
wave launchers can power themselves via inductive power devices without
a direct electrical connection. These devices then create a high-speed
signal that travels along or near the wire – not through it. This signal means
connected experiences become an everyday reality for more people – even
in locations considered difficult to serve before the advent of Project
AirGig.

38. APPLICATIONS AND DEVICES
Edge Computing With Go and Intel Movidius Neural Compute Stick

39. Future Scope
• The Future of Edge Computing: Not Just for IoT
• With the continuing avalanche of computing demand and data moving compute and data closer to the
user is now a necessity.
• Edge computing is killing the cloud. Edge computing is another use case for the cloud. Industry experts are
lining up on both sides of the aisle to argue their case. Many think that edge computing is driven by the
emerging needs of IoT networks, but edge computing has far greater implications than just IoT.
• Advanced drones, for example, make use of flexible onboard GPU’s for their obstacle avoidance software.
Often to the detriment of battery life as around 25% a drones battery is consumed by the relatively power-
hungry GPU & its added weight. If this processing is moved towards the network edge, where 5G can
provide ultra low latency & high bandwidth to all devices, the overall weight, cost, batterylife and
capabilities of our drones can be greatly improved.
UHD/4K+ Video Streaming, Surveillance
• Modern internet bandwidth is primarily made up of video traffic (~56%), with this disparity only set to grow
now that more 4K and even 8k content is becoming available. MEC and software-defined networks are one
of the only viable ways to handle such massive amounts of internet traffic for on-demand internet services.
In fact Netflix, the largest video-content provider on the web comprises 15% of all traffic globally (at peak
40% of all US traffic), youtube following in its stead with 11.4% globally.