A Holistic Study on Emerging IoT Networking Paradigms

Shatha Ghareeb

A Holistic Study on Emerging IoT Networking Paradigms

Department of Computing & Games

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Abstract—With the emerge of Internet of Things, billions of
devices and humans are connected directly or indirectly to the
internet. This significant growth in the number of connected
devices rises the needs for a new development for the current
network paradigm (e.g., cloud computing). The new network
paradigm, such as fog computing, along with its related edge
computing paradigms, are seen as promising solutions for handling the large volume of securely-critical and delay-sensitive
data that is being produced by the IoT nodes. In this paper, we
give a brief overview on the IoT related computing paradigms,
including their similarities and differences as well as challenges.
Next, we provide a summery of the challenges and processing
and storage capabilities of each network paradigm.

Original language	English
Title of host publication	2019 12th International Conference on Developments in eSystems Engineering (DeSE)
Publisher	IEEE
ISBN (Electronic)	9781728130217
Publication status	Published - 23 Apr 2020
Event	2019 12th International Conference on Developments in eSystems Engineering - Kazan, Russian Federation Duration: 7 Oct 2019 → 10 Oct 2019

Conference

Conference	2019 12th International Conference on Developments in eSystems Engineering
Country/Territory	Russian Federation
City	Kazan
Period	7/10/19 → 10/10/19

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https://ieeexplore.ieee.org/document/9073507

Cite this

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title = "A Holistic Study on Emerging IoT Networking Paradigms",

abstract = "Abstract—With the emerge of Internet of Things, billions of devices and humans are connected directly or indirectly to the internet. This significant growth in the number of connected devices rises the needs for a new development for the current network paradigm (e.g., cloud computing). The new network paradigm, such as fog computing, along with its related edge computing paradigms, are seen as promising solutions for handling the large volume of securely-critical and delay-sensitive data that is being produced by the IoT nodes. In this paper, we give a brief overview on the IoT related computing paradigms, including their similarities and differences as well as challenges. Next, we provide a summery of the challenges and processing and storage capabilities of each network paradigm. ",

author = "Shatha Ghareeb",

year = "2020",

month = apr,

day = "23",

language = "English",

booktitle = "2019 12th International Conference on Developments in eSystems Engineering (DeSE)",

publisher = "IEEE",

note = "2019 12th International Conference on Developments in eSystems Engineering ; Conference date: 07-10-2019 Through 10-10-2019",

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AU - Ghareeb, Shatha

PY - 2020/4/23

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N2 - Abstract—With the emerge of Internet of Things, billions of devices and humans are connected directly or indirectly to the internet. This significant growth in the number of connected devices rises the needs for a new development for the current network paradigm (e.g., cloud computing). The new network paradigm, such as fog computing, along with its related edge computing paradigms, are seen as promising solutions for handling the large volume of securely-critical and delay-sensitive data that is being produced by the IoT nodes. In this paper, we give a brief overview on the IoT related computing paradigms, including their similarities and differences as well as challenges. Next, we provide a summery of the challenges and processing and storage capabilities of each network paradigm.

AB - Abstract—With the emerge of Internet of Things, billions of devices and humans are connected directly or indirectly to the internet. This significant growth in the number of connected devices rises the needs for a new development for the current network paradigm (e.g., cloud computing). The new network paradigm, such as fog computing, along with its related edge computing paradigms, are seen as promising solutions for handling the large volume of securely-critical and delay-sensitive data that is being produced by the IoT nodes. In this paper, we give a brief overview on the IoT related computing paradigms, including their similarities and differences as well as challenges. Next, we provide a summery of the challenges and processing and storage capabilities of each network paradigm.

M3 - Conference contribution

BT - 2019 12th International Conference on Developments in eSystems Engineering (DeSE)

PB - IEEE

T2 - 2019 12th International Conference on Developments in eSystems Engineering

Y2 - 7 October 2019 through 10 October 2019

ER -

A Holistic Study on Emerging IoT Networking Paradigms

Abstract

Conference

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