Simranbir Singh's Fog and Edge Computing Project Analysis
VerifiedAdded on 2023/06/04
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Project
AI Summary
This project delves into the realm of fog and edge computing, recognizing its significance as a cornerstone of the Internet of Things (IoT). The study investigates the computational characteristics and feasibility of applications within challenging scenarios, aiming to create a functional hybrid platform for IoT by integrating fog/edge technology with cloud computing. The project explores the advantages and disadvantages of fog and edge computing, detailing their applications in various fields. The study focuses on minimizing cloud dependency and global internet traffic. The project outlines the methodology, research design, and expected outcomes, including reducing network traffic and creating a hybrid architecture to minimize cloud resource access by offering computation and storage capability in edge devices. The project also includes a schedule for the study, outlining the tasks, subtasks, and time allocated for each phase. The project incorporates literature review, methodology, and design to establish a comprehensive understanding of fog and edge computing within the context of IoT.

FOG AND EDGE
COMPUTING PROJECT
Simranbir Singh
Simr0008
COMPUTING PROJECT
Simranbir Singh
Simr0008
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Abstract
Fog and edge becomes pillar of internet of things. It offers several
emerging things of infrastructure that exploits unlimited resource.
The study will demonstrate the computing characteristics as well as
evaluating the feasibility of the applications in difficult scenario.
In addition, the current paper has purposes to create a functional hybrid
platform for IoT through implementing a combination of fog/edge
technology with the combination of cloud technology.
Fog and edge becomes pillar of internet of things. It offers several
emerging things of infrastructure that exploits unlimited resource.
The study will demonstrate the computing characteristics as well as
evaluating the feasibility of the applications in difficult scenario.
In addition, the current paper has purposes to create a functional hybrid
platform for IoT through implementing a combination of fog/edge
technology with the combination of cloud technology.

Introduction
With rapid growth of technology, internet becomes a major part of
human life. Present life requires edge internet for the purpose of
increasing production in several fields like operation as well as control
engineering.
The innovation of Internet of things (IoT) has a great influence on human
life [3]. Hence, it becomes important to develop a empirical study that
has potential for enriching the lifestyle as well as productivity as utilizing
the process that can be monitored and deployment phase.
Hence, through an amalgamation of IoT, cloud as well as fog computing
can be incorporated through a higher level of automation resulting more
productivity and creativity.
With rapid growth of technology, internet becomes a major part of
human life. Present life requires edge internet for the purpose of
increasing production in several fields like operation as well as control
engineering.
The innovation of Internet of things (IoT) has a great influence on human
life [3]. Hence, it becomes important to develop a empirical study that
has potential for enriching the lifestyle as well as productivity as utilizing
the process that can be monitored and deployment phase.
Hence, through an amalgamation of IoT, cloud as well as fog computing
can be incorporated through a higher level of automation resulting more
productivity and creativity.
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Background of the study
Cisco has made a remarkable change in fog technology through
developing the platform and made the application available for fog
computing.
IOX and Linux enable the resource capability of sharing the developed
devices in the environment. The cloudlet solution produces the generic
edge devices related to the virtual platform deployed through
Openstack+.
It remains important categorizing the concept to multiple scenarios that
are potential so that anyone can be able to evaluate technical feasibility
as well as projects a design in term of architecture, which can be
effectively be deployed in the IoT associated process.
Cisco has made a remarkable change in fog technology through
developing the platform and made the application available for fog
computing.
IOX and Linux enable the resource capability of sharing the developed
devices in the environment. The cloudlet solution produces the generic
edge devices related to the virtual platform deployed through
Openstack+.
It remains important categorizing the concept to multiple scenarios that
are potential so that anyone can be able to evaluate technical feasibility
as well as projects a design in term of architecture, which can be
effectively be deployed in the IoT associated process.
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Significance and purpose of the
study
The significance of the research is enhancing the livelihood of the
human society. The concept of edge and fog computing remains a
significant part as it makes easier and enhance the living standards by
enhancing production in several fields.
On the other hand, trying to fulfill the demands, the dependency of the
Cloud can be minimized.
The purpose of the study is carrying out an investigation regarding the
concept of edge and fog technology that influences livelihood of human
societal live standards.
study
The significance of the research is enhancing the livelihood of the
human society. The concept of edge and fog computing remains a
significant part as it makes easier and enhance the living standards by
enhancing production in several fields.
On the other hand, trying to fulfill the demands, the dependency of the
Cloud can be minimized.
The purpose of the study is carrying out an investigation regarding the
concept of edge and fog technology that influences livelihood of human
societal live standards.

Aim, objectives and research
questions
The aim of the study is minimizing the cost of IOT based applications through minimizing
cloud dependency. In addition, minimizing the global internet traffic.
The objectives of the study are:
To identify the type of resource needs for the applications based on IOT
To find out the strength and weakness of cloud based Internet of things that are existing
The research questions are:
What is the computational model that is used in the cloud sim?
What is the connection between internet and cloud computing?
What are cloud system and its importance?
What is edge technology and it importance to the current technology?
What is fog computing?
questions
The aim of the study is minimizing the cost of IOT based applications through minimizing
cloud dependency. In addition, minimizing the global internet traffic.
The objectives of the study are:
To identify the type of resource needs for the applications based on IOT
To find out the strength and weakness of cloud based Internet of things that are existing
The research questions are:
What is the computational model that is used in the cloud sim?
What is the connection between internet and cloud computing?
What are cloud system and its importance?
What is edge technology and it importance to the current technology?
What is fog computing?
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Literature review
Overview
Internet of Things: It is a collaboration of several technologies such as
embedded system, wireless sensor network as well as real time
processing system.
Cloud system: It is considered as a virtualized technology that
provides ability of seamless configuration of the resource.
Edge technology: it is considered as one of the significant elements of
modern IoT platform. It assists in storing data and improve the
capability to the specific parameters of IoT applications.
[5]
Fog computing: Fog computing is a miniature version of cloud
technology.
Overview
Internet of Things: It is a collaboration of several technologies such as
embedded system, wireless sensor network as well as real time
processing system.
Cloud system: It is considered as a virtualized technology that
provides ability of seamless configuration of the resource.
Edge technology: it is considered as one of the significant elements of
modern IoT platform. It assists in storing data and improve the
capability to the specific parameters of IoT applications.
[5]
Fog computing: Fog computing is a miniature version of cloud
technology.
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Overview of the concept
IoT usually refers to a comprehensive environment that connects a
multitude distinctive physical objects and things like appliance as well
as facilities, for example logistics and manufacturing and agriculture
field applications.
Fog and Edge computing assists in advancing the cloud-centred Internet
of Things (CIoT) by extending cloud computing model as well as edge
networks of the IoT that engages the participation of the network
intermediate nodes.
IoT usually refers to a comprehensive environment that connects a
multitude distinctive physical objects and things like appliance as well
as facilities, for example logistics and manufacturing and agriculture
field applications.
Fog and Edge computing assists in advancing the cloud-centred Internet
of Things (CIoT) by extending cloud computing model as well as edge
networks of the IoT that engages the participation of the network
intermediate nodes.

Fog and Edge Computing
Fog and edge computing refers to the ability of getting closer process
data in order to minimize the cost of latency as well as improve the user
experience for the customers.
The major difference between Fog computing and Edge computing is the
fact that Fog computing pushes the intelligence of data validation into a
local network.
However, edge computing propels same data validation as well as
intelligence processing onto edge devices like switches and routers.
Fog and edge computing refers to the ability of getting closer process
data in order to minimize the cost of latency as well as improve the user
experience for the customers.
The major difference between Fog computing and Edge computing is the
fact that Fog computing pushes the intelligence of data validation into a
local network.
However, edge computing propels same data validation as well as
intelligence processing onto edge devices like switches and routers.
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Applications of Fog and Edge computing
Fog and edge computing provide elements like in the case of cloud in
IoT through fulfilling several vacancies within cloud and other things for
working towards providing applications in several fields.
Security: FEC has the ability to ensure safe as well as trustworthy
transactions through providing extra security.
Cognition: Fog and edge computing assists the client in taking
autonomous decisions related to the process of implementing storage,
computing as well as control functions.
Agility: FEC also improves the speed of implementing large scope IoT
system.
Fog and edge computing provide elements like in the case of cloud in
IoT through fulfilling several vacancies within cloud and other things for
working towards providing applications in several fields.
Security: FEC has the ability to ensure safe as well as trustworthy
transactions through providing extra security.
Cognition: Fog and edge computing assists the client in taking
autonomous decisions related to the process of implementing storage,
computing as well as control functions.
Agility: FEC also improves the speed of implementing large scope IoT
system.
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Role of FEC in storage
The mechanism of storage of fog and edge computing is associated with
the storing of data.
It is considered as temporary as well as catching at the nodes of fog and
edge computing.
Fog and edge computing work in enhancing efficiency as well as
performance of the content information or the content that is to be
delivered.
The mechanism of storage of fog and edge computing is associated with
the storing of data.
It is considered as temporary as well as catching at the nodes of fog and
edge computing.
Fog and edge computing work in enhancing efficiency as well as
performance of the content information or the content that is to be
delivered.

How does FEC help in
acceleration?
Fog and edge computing help in providing facilities with networking as
well as the concept of ‘programmable’. The nodes can provide support
and acceleration in the aspects such as networking acceleration and
computing acceleration.
It assists in the mechanism of network acceleration that is based on
virtualization technology. It can enable the nodes of fog and edge
computing for operating the routing tables parallel as well as realize the
software defined network.
acceleration?
Fog and edge computing help in providing facilities with networking as
well as the concept of ‘programmable’. The nodes can provide support
and acceleration in the aspects such as networking acceleration and
computing acceleration.
It assists in the mechanism of network acceleration that is based on
virtualization technology. It can enable the nodes of fog and edge
computing for operating the routing tables parallel as well as realize the
software defined network.
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