In this session, we will explore what IoT is and will explore the basics of edge and fog computing. We will also explore the layered architecture of a standard IoT model in detail, followed by data processing models in IoT. We will also explore what should be the final outcome of an IoT based application.

1. IoT Model
An Overview
Sahil Sawhney
Sr. Software Consultant
sahil.sawhney@knoldus.com
+(91) 987-121-1045
www.knoldus.com

2. Agenda
What Is IoT
7 Layers Of IoT Model
IoT In Action : HPE
Questions
IoT Data Processing Layers

3. What Is IoT?
The internet of things, or IoT, is a ecosystem of connected
● Computing Devices
● Mechanical Machine
● Digital Machines
● Objects
● Animals
● Humans
that are provided with unique identifiers (UIDs) and the ability to transfer data over a network
without requiring human-to-human or human-to-computer interaction.

4. What Is “Things” in IoT?
A thing in the internet of things can be
● A person with a heart monitor implant
● A farm animal with a biochip transponder
● An automobile that has built-in sensors to alert the driver when tire pressure is low
● Sensor capturing Wave pattern in Oceans
● Smart homes
Or any other natural or man-made object that can be assigned an IP address and is able to
transfer data over a network.

5. Why IoT?
“If we had computers that knew everything there was to know
about things - using data they gathered without any help
from us - we would be able to track and count everything,
and greatly reduce waste, loss and cost. We would know
when things needed replacing, repairing or recalling, and
whether they were fresh or past their best. We need to
empower computers with their own means of gathering
information, so they can see, hear and smell the world for
themselves, in all its random glory.”
- Kevin Ashton
(Inventor of the term IOT)

6. How Big is IoT?
The new wave of connectivity is going beyond convention, laptops and smartphones, it’s
going towards connected cars, smart homes, connected wearables, smart cities and
connected healthcare

7. Layered Architecture of IoT

9. Layer 1: The Things Layer
This layer of IoT comprises of
● Devices
● Sensors
● Controllers
Connected devices are what enable the IoT environment.
These devices include mobile devices such as smartphones or tablets, micro controller units and
single-board computers.

10. Layer 2: Connectivity/Edge Computing Layer
Layer 2 is the connectivity/edge computing layer, which defines the various communication
protocols and networks used for connectivity and edge computing
It is a distributed architecture where IoT data is processed at the edge of the network
Edge Computing ->
Edge computing is a mesh network of micro data centers that process or store critical data
locally and push all received data to a central data center or cloud storage repository, in a
footprint of less than 100 square feet.
Edge computing triages the data locally so some of it is processed locally, reducing the backhaul
traffic to the central repository.

11. Layer 3 and 4: Peristing “Things” Data On Cloud
Layer 3 is the global infrastructure layer, which is typically implemented in cloud infrastructure.
Most of the IoT solutions integrate with cloud services. A comprehensive set of integrated
services, IoT cloud can provide businesses with useful insights and perspective on customers.
Layer 4 is the data ingestion layer, which includes bigdata, cleansing, streaming and storage of
data.

12. Layer 5: Data Analysis Layer
Layer 5 is the data analysis layer and relates to data reporting, mining, machine learning etc.
Here we use application like Spark, Hadoop to transform the data into useful information which
could be

13. Layer 6: The Application Layer
Layer 6 is the application layer, which comprises of the custom applications that is actually
making use of the things data.

14. Layer 7: People and Process Layer
Layer 7 is the people and process layer. This includes people, businesses, collaboration and
decision making based on the information and Knowledge derived from IoT computing.
The Knowledge here is transformed into wisdom, which helps in decision making process.

15. IoT, Outcome

16. Data Processing Model In IoT

18. Infrastructure Investment

19. www.knoldus.com
+(91) 987-121-1045
sahil.sawhney@knoldus.in
@Knolspea
k
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