research-article

An analysis of the application of fuzzy logic in cloud computing

Authors: Muhammad Imran Tariq, Shahzadi Tayyaba, Natash Ali Mian, Muhammad Shahzad Sarfraz, Akhtar Hussain, Muhammad Imran, Emil Pricop, Otilia Cangea, Nicolae ParaschivAuthors Info & Claims

Journal of Intelligent & Fuzzy Systems, Volume 38, Issue 5

Pages 5933 - 5947

https://doi.org/10.3233/JIFS-179680

Published: 01 January 2020 Publication History

Abstract

Fuzzy logic has wide adoption in every field of study due to its immense advantages and techniques. In cloud computing, there are many challenges that can be resolved with the help of fuzzy logic. The core objective of this paper is to analyze the application of fuzzy logic in most demanding research areas of cloud computing. We also analyzed the fuzzy methods that were used in the solving of problems relates to cloud computing. A systematic literature review was conducted to enlist the all the challenging areas of research relates to cloud computing, categorized the most critical and challenging areas of cloud research, studied existing problem-solving techniques of each challenging cloud area, and finally studied the application of fuzzy logic in each aforementioned areas to redress different problems. The authors concluded that fuzzy logic can be used in every area of research including cloud computing to solve the problems and optimized the performance, as well as fuzzy logic techniques, were opted by many cloud computing researchers to conduct their study to optimize the performance of the system.

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Cited By

Chakraborty AKumar MChaurasia N(2024)An intelligent offloading and resource allocation using Fuzzy-based HHGA algorithm for IoT applicationsCluster Computing10.1007/s10586-024-04536-x27:8(11167-11185)Online publication date: 1-Nov-2024
https://dl.acm.org/doi/10.1007/s10586-024-04536-x
Rathinaeswari SSanthi V(2024)An Intelligent Lightweight Signing Signature and Secured Jellyfish Data Aggregation (LS3JDA) Based Privacy Preserving Model in CloudNew Generation Computing10.1007/s00354-024-00263-442:5(911-946)Online publication date: 1-Dec-2024
https://dl.acm.org/doi/10.1007/s00354-024-00263-4
Singh NDas A(2022)Energy-efficient fuzzy data offloading for IoMTComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2022.109127213:COnline publication date: 4-Aug-2022
https://dl.acm.org/doi/10.1016/j.comnet.2022.109127

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An analysis of the application of fuzzy logic in cloud computing

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cover image Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology Volume 38, Issue 5

Special section: Intelligent data analysis and applications & smart vehicular technology, communications and applications

2020

1353 pages

ISSN:1064-1246

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© 2020 – IOS Press and the authors. All rights reserved.

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IOS Press

Netherlands

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Published: 01 January 2020

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Cited By

Chakraborty AKumar MChaurasia N(2024)An intelligent offloading and resource allocation using Fuzzy-based HHGA algorithm for IoT applicationsCluster Computing10.1007/s10586-024-04536-x27:8(11167-11185)Online publication date: 1-Nov-2024
https://dl.acm.org/doi/10.1007/s10586-024-04536-x
Rathinaeswari SSanthi V(2024)An Intelligent Lightweight Signing Signature and Secured Jellyfish Data Aggregation (LS3JDA) Based Privacy Preserving Model in CloudNew Generation Computing10.1007/s00354-024-00263-442:5(911-946)Online publication date: 1-Dec-2024
https://dl.acm.org/doi/10.1007/s00354-024-00263-4
Singh NDas A(2022)Energy-efficient fuzzy data offloading for IoMTComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2022.109127213:COnline publication date: 4-Aug-2022
https://dl.acm.org/doi/10.1016/j.comnet.2022.109127

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