Smart Architectural Framework for Symmetrical Data Offloading in IoT

With new technologies coming to the market, the Internet of Things (IoT) is one of the technologies that has gained exponential rise by facilitating Machine to Machine (M2M) communication and bringing smart devices closer to end users. By 2025, it is expected that IoT will bring together 78.4 billio...

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Main Authors: Malvinder Singh Bali, Kamali Gupta, Deepika Koundal, Atef Zaguia, Shubham Mahajan, Amit Kant Pandit
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Symmetry
Subjects:
Online Access:https://www.mdpi.com/2073-8994/13/10/1889
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author Malvinder Singh Bali
Kamali Gupta
Deepika Koundal
Atef Zaguia
Shubham Mahajan
Amit Kant Pandit
author_facet Malvinder Singh Bali
Kamali Gupta
Deepika Koundal
Atef Zaguia
Shubham Mahajan
Amit Kant Pandit
author_sort Malvinder Singh Bali
collection DOAJ
description With new technologies coming to the market, the Internet of Things (IoT) is one of the technologies that has gained exponential rise by facilitating Machine to Machine (M2M) communication and bringing smart devices closer to end users. By 2025, it is expected that IoT will bring together 78.4 billion of devices, thus improving the quality of life beyond our imagination; however, there are multiple potential challenges, such as the exploitation of energy consumption and the huge data traffic being generated by smart devices causing congestion and utilizing more bandwidth. Various researchers have provided an alternative to this problem by performing offloading of data, the task and computational requirements of an application at edge and fog nodes of IoT, thus helping to overcome latency issues for critical applications. Despite the importance of an offloading approach in IoT, there is need for a systematic, symmetric, comprehensive, and detailed survey in this field. This paper provides a systematic literature review (SLR) on data offloading approaches in IoT network at edge and fog nodes in the form of a classical taxonomy in order to recognize the state-of-the art mechanism(s) associated with this important topic and provide open consideration of issues as well. All of the research on classified offloading approaches done by researchers is compared with each other according to important factors such as performance metrics, utilized techniques, and evaluation tools, and their advantages and disadvantages are discussed. Finally, an efficient smart architecture-based framework is proposed to handle the symmetric data offloading issues.
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spelling doaj.art-82ed12466056409cb00b78e318b8623e2023-11-22T20:10:37ZengMDPI AGSymmetry2073-89942021-10-011310188910.3390/sym13101889Smart Architectural Framework for Symmetrical Data Offloading in IoTMalvinder Singh Bali0Kamali Gupta1Deepika Koundal2Atef Zaguia3Shubham Mahajan4Amit Kant Pandit5Chitkara University Institute of Engineering & Technology, Chitkara University, Rajpura 141410, IndiaChitkara University Institute of Engineering & Technology, Chitkara University, Rajpura 141410, IndiaSchool of Computer Science, University of Petroleum & Energy Studies, Dehradun 248001, IndiaDepartment of Computer Science, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif 21944, Saudi ArabiaSchool of Electronics & Communication, Shri Mata Vaishno Devi University, Katra 182320, IndiaSchool of Electronics & Communication, Shri Mata Vaishno Devi University, Katra 182320, IndiaWith new technologies coming to the market, the Internet of Things (IoT) is one of the technologies that has gained exponential rise by facilitating Machine to Machine (M2M) communication and bringing smart devices closer to end users. By 2025, it is expected that IoT will bring together 78.4 billion of devices, thus improving the quality of life beyond our imagination; however, there are multiple potential challenges, such as the exploitation of energy consumption and the huge data traffic being generated by smart devices causing congestion and utilizing more bandwidth. Various researchers have provided an alternative to this problem by performing offloading of data, the task and computational requirements of an application at edge and fog nodes of IoT, thus helping to overcome latency issues for critical applications. Despite the importance of an offloading approach in IoT, there is need for a systematic, symmetric, comprehensive, and detailed survey in this field. This paper provides a systematic literature review (SLR) on data offloading approaches in IoT network at edge and fog nodes in the form of a classical taxonomy in order to recognize the state-of-the art mechanism(s) associated with this important topic and provide open consideration of issues as well. All of the research on classified offloading approaches done by researchers is compared with each other according to important factors such as performance metrics, utilized techniques, and evaluation tools, and their advantages and disadvantages are discussed. Finally, an efficient smart architecture-based framework is proposed to handle the symmetric data offloading issues.https://www.mdpi.com/2073-8994/13/10/1889data offloadingedge computingsmart frameworkheuristics
spellingShingle Malvinder Singh Bali
Kamali Gupta
Deepika Koundal
Atef Zaguia
Shubham Mahajan
Amit Kant Pandit
Smart Architectural Framework for Symmetrical Data Offloading in IoT
Symmetry
data offloading
edge computing
smart framework
heuristics
title Smart Architectural Framework for Symmetrical Data Offloading in IoT
title_full Smart Architectural Framework for Symmetrical Data Offloading in IoT
title_fullStr Smart Architectural Framework for Symmetrical Data Offloading in IoT
title_full_unstemmed Smart Architectural Framework for Symmetrical Data Offloading in IoT
title_short Smart Architectural Framework for Symmetrical Data Offloading in IoT
title_sort smart architectural framework for symmetrical data offloading in iot
topic data offloading
edge computing
smart framework
heuristics
url https://www.mdpi.com/2073-8994/13/10/1889
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