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Integrate Cloud and Fog Technology with the
Internet of Things
Authors affiliated to: University of Benghazi -Libya
1
International Maghreb Meeting of the
Conference on Sciences and Techniques of
Automatic control and Computer
Engineering
MI-STA 2023
May 21 – 23, 2023 – BENGHAZI – LIBYA
Mohamed Mahfoud Alaty Younis A. Younis
itstd.3692@.uob. edu.ly Younis.Younis@uob.edu.ly
Outlines
 What is IoT?
 What is Cloud computing?
 How does Cloud helps IoT?
 What is Fog computing?
 Problem statement
 Smart agriculture proposed system
 Implementation of the smart agriculture proposed system
 Conclusion
2
 Abbreviation of “Internet of Things ”.
 It describes the network of physical objects—“things”—that are
embedded with sensors, software, and other technologies for the
purpose of connecting and exchanging data with other devices and
systems over the internet.
 Each thing has a unique identifier.
 Ability to transfer data over a network.
 No human-computer communication.
 It is applied to practically any technology that can give information
about its functioning, activity completion, and environmental
situations.
What is IoT ?
3
What is Cloud computing ?
 It is the delivery of computing services—including servers, storage, databases,
networking, software, analytics, and intelligence—over the Internet.
 ( NIST Definition ) “ It is a model for enabling ubiquitous, convenient, on-demand
network access to a shared pool of configurable computing resources (e.g., networks,
servers, storage, applications, and services) that can be rapidly provisioned and
released with minimal management effort or service provider interaction “.
 Cloud deployment models :
 Public Cloud.
 Private Cloud.
 Community Cloud.
 Hybrid Cloud.
4
How Cloud helps IoT ?
 Cloud integration solves some IoT problems :
 Great processing power.
 Permanent storage of a huge amount of data.
 Possibility to develop monitoring services for some applications.
 Data management.
 Data analysis.
 Availability.
 Scalability.
Only the cloud is not the best solution to the problems of the Internet of things as a whole
5
What is Fog computing?
 Refers to extending cloud computing to the edge of an enterprise's
network.
 Computing architecture in which a series of nodes receives data from IoT
devices in real-time.
 Supports the Internet of Things (IoT) concept
 Fog helps IoT by providing:
 Low latency
 Real-time interaction
 Preprocessing
 Local storing
6
Problem statement
 The Internet of Things is a very useful technology that has greatly helped the development of information technology, but it
faces problems in network management, standardization, processing, storage, and securing a large amount of data.
 A set of solutions to these problems have been proposed, including the use of an architecture containing cloud computing
technology.
 cloud computing has contributed to solving many challenges and problems facing the Internet of Things, but it cannot be a
complete and reliable solution for all applications of The Internet of things.
 Thus, there is a need for consolidating it with other technologies such as fog computing.
7
Smart agriculture proposed system
 The smart agriculture system consists of three layers:
 IoT Network Layer contains :
 Temperature and humidity sensor node .
 Soil moisture sensor node.
 Flame sensing node.
 RGB LED node.
 The Fog layer contains one node with a GPRS module.
 The Cloud layer contains:
 Web API.
 Database.
 Web APP.
8
9
Implementation of The Smart Agriculture Proposed System
10
11
12
Conclusion
13
 In this paper, it was studied:
 Internet of things technology and sweating on its enabling technologies.
 Cloud computing technology.
 Foggy computing technology and how to integrate it with the cloud in the
architecture of the Internet of Things.
 Suggesting and designing a smart farming system based on integrating cloud
and fog computing with the Internet of Things.
 Implementing the proposed system and providing the following capabilities:
 Monitoring system for agricultural fields.
 Automation.
 Real-time interaction.
14
The End
Thank you

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Integrate Cloud and Fog Technology with the Internet of Things

  • 1. Integrate Cloud and Fog Technology with the Internet of Things Authors affiliated to: University of Benghazi -Libya 1 International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic control and Computer Engineering MI-STA 2023 May 21 – 23, 2023 – BENGHAZI – LIBYA Mohamed Mahfoud Alaty Younis A. Younis itstd.3692@.uob. edu.ly Younis.Younis@uob.edu.ly
  • 2. Outlines  What is IoT?  What is Cloud computing?  How does Cloud helps IoT?  What is Fog computing?  Problem statement  Smart agriculture proposed system  Implementation of the smart agriculture proposed system  Conclusion 2
  • 3.  Abbreviation of “Internet of Things ”.  It describes the network of physical objects—“things”—that are embedded with sensors, software, and other technologies for the purpose of connecting and exchanging data with other devices and systems over the internet.  Each thing has a unique identifier.  Ability to transfer data over a network.  No human-computer communication.  It is applied to practically any technology that can give information about its functioning, activity completion, and environmental situations. What is IoT ? 3
  • 4. What is Cloud computing ?  It is the delivery of computing services—including servers, storage, databases, networking, software, analytics, and intelligence—over the Internet.  ( NIST Definition ) “ It is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction “.  Cloud deployment models :  Public Cloud.  Private Cloud.  Community Cloud.  Hybrid Cloud. 4
  • 5. How Cloud helps IoT ?  Cloud integration solves some IoT problems :  Great processing power.  Permanent storage of a huge amount of data.  Possibility to develop monitoring services for some applications.  Data management.  Data analysis.  Availability.  Scalability. Only the cloud is not the best solution to the problems of the Internet of things as a whole 5
  • 6. What is Fog computing?  Refers to extending cloud computing to the edge of an enterprise's network.  Computing architecture in which a series of nodes receives data from IoT devices in real-time.  Supports the Internet of Things (IoT) concept  Fog helps IoT by providing:  Low latency  Real-time interaction  Preprocessing  Local storing 6
  • 7. Problem statement  The Internet of Things is a very useful technology that has greatly helped the development of information technology, but it faces problems in network management, standardization, processing, storage, and securing a large amount of data.  A set of solutions to these problems have been proposed, including the use of an architecture containing cloud computing technology.  cloud computing has contributed to solving many challenges and problems facing the Internet of Things, but it cannot be a complete and reliable solution for all applications of The Internet of things.  Thus, there is a need for consolidating it with other technologies such as fog computing. 7
  • 8. Smart agriculture proposed system  The smart agriculture system consists of three layers:  IoT Network Layer contains :  Temperature and humidity sensor node .  Soil moisture sensor node.  Flame sensing node.  RGB LED node.  The Fog layer contains one node with a GPRS module.  The Cloud layer contains:  Web API.  Database.  Web APP. 8
  • 9. 9 Implementation of The Smart Agriculture Proposed System
  • 10. 10
  • 11. 11
  • 12. 12
  • 13. Conclusion 13  In this paper, it was studied:  Internet of things technology and sweating on its enabling technologies.  Cloud computing technology.  Foggy computing technology and how to integrate it with the cloud in the architecture of the Internet of Things.  Suggesting and designing a smart farming system based on integrating cloud and fog computing with the Internet of Things.  Implementing the proposed system and providing the following capabilities:  Monitoring system for agricultural fields.  Automation.  Real-time interaction.