IoT Cloud Architecture

1
Cloud ArchitectureInternet of Everything Meetup

• Mumbai, India

• December 18th, 2014

2
Contents

• Introduction to Internet of Things
• Introduction to the Cloud
• IOT Architecture
• IOT Gateways
• IOT Sensor Interfaces
• IOT Network Interfaces
• Cloud Architecture
• Data Acquisition
• Data Storage and Aggregation
• Data Analytics
• User Interfaces

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Introduction to Internet of Things
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Introduction to Internet of Things
Source Wikipedia
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Introduction to Internet of Things

• The Internet of Things (IoT) is a scenario in
  which objects, animals or people are provided
  with unique identifiers and the ability to
  transfer data over a network without requiring
  human-to-human or human-to-computer interaction.
  IoT has evolved from the convergence of
  wireless technologies, micro-electromechanical
  systems and the Internet.
• 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 -- or any other natural
  or man-made object that can be assigned an IP
  address and provided with the ability to transfer
  data over a network. So far, the Internet of
  Things has been most closely associated with
  machine-to-machine (M2M) communication in
  manufacturing and power, oil and gas utilities.
  Products built with M2M communication
  capabilities are often referred to as being
  smart.

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Introduction to the Cloud
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Introduction to the Cloud
Source Wikipedia
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Introduction to the Cloud

• Cloud computing is typically defined as a type of
  computing that relies on sharing computing
  resources rather than having local servers or
  personal devices to handle applications.
• In cloud computing, the word cloud (also phrased
  as "the cloud") is used as a metaphor for "the
  Internet," so the phrase cloud computing means "a
  type of Internet-based computing," where
  different services  such as servers, storage and
  applications are delivered to an organization's
  computers and devices through the Internet.

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IoT Architecture
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IoT Architecture
Source Dzone
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IoT Architecture

• An IOT platform has basically three building
  blocks
• Things
• Gateway
• Network and Cloud

Source Intel
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IoT Gateway
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IoT Gateway
Raspberry Pi
Intel Galileo
Beaglebone Back

• The heart of a cloud platform could use open
  source boards like the Raspberry Pi, Beaglebone
  Black, Intel Galileo etc. These are usual Linux
  boards that run different flavours of Linux like
  Raspbian on the Raspberry Pi, Angstrom on the
  Beaglebone etc. These boards interface with
  devices on the one hand and the cloud platform on
  the other.

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IoT Sensor Interfaces
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Sensor Interfaces
RS-485 to Serial
Raspberry Pi
Xbee Mesh network

• Lets take a look at the device interfaces. So
  for example, devices could interface with the
  Raspberry Pi over RS-485, and Xbee. An RS-485
  network allows a multi-dropped serial wired
  network allowing a host of devices to connect.
  The Xbee creates a wireless mesh network allowing
  large number of wireless devices to connect.
  These are open source interfaces and allows
  creation of a large sensor network. We could also
  use the GPIO on the Raspberry Pi for physical
  inputs.

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IoT Network Interfaces
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Network Interfaces
Wi-Fi dongle
Raspberry Pi
GPRS shield

• The next interface we look at is the cloud
  interface. This is achieved using a simple WiFi
  dongle or a GPRS shield. The WiFi dongle
  interfaces over USB and the GPRS shield uses the
  serial interface. Also available is the Ethernet
  port which could be used for interface.

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Cloud Architecture
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Cloud Architecture
Source iotechnology.com
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Cloud Architecture
Source Microsoft
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Cloud Architecture
Source Aeris
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Cloud Data Acquisition
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Cloud Data Acquisition
Now lets take a look at data acquisition on the
Cloud platform. Id recommend use of a very good
open-source implementation called Ponte,
developed by Matteo Collina (_at_matteocollina). It
supports three of the most widely used protocols
for gateway interfaces, namely HTTP, MQTT and
COAP. It support multiple databases like MongoDB,
Redis and LevelDB. Also has an inbuilt pub-sub
mechanism for publishing and subscribing to other
devices over multiple protocols.
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Data Analytics
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Data Analytics
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User Interfaces
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Cloud View
The Cloud view requires connecting to a data
store, web server/ framework for handling
requests and a robust client-side library. Id
recommend using the open-source MEAN stack
(MongoDB, Expressjs, AngularJS and Node.js)
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Thank You.

• Anand George
• Software Developer,
• MachinePulse, Mumbai

_at_anandgeor
_at_machine_pulse
MachinePulse
machinepulse.in
MachinePulse