An analysis of the application of fuzzy logic in cloud computing

Tariq, Muhammad Imran; Tayyaba, Shahzadi; Mian, Natash Ali; Sarfraz, Muhammad Shahzad; Hussain, Akhtar; Imran, Muhammad; Pricop, Emil; Cangea, Otilia; Paraschiv, Nicolae

doi:10.3233/jifs-179680

Cited by 12 publications

(6 citation statements)

References 59 publications

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“…Cloud computing security is further increased and ensured by implementing blockchain which provides security in a decentralized manner. The security of cloud computing based on trust management with blockchain was reviewed in [25] by considering various challenges faced by the traditional trust model (i.e., centralized model) such as high management overhead, single point of failure, network congestion, etc., and provide future directions based on edge-based trust management and double blockchain in the cloud computing environment. However, this review lacks QoS consideration.…”

Section: Related Workmentioning

confidence: 99%

A Systematic Literature Review on Security Issues in Cloud Computing Using Edge Computing and Blockchain: Threat, Mitigation, and Future Trends

Ahmad Khan,

Mahmood Khan,

(Corresponding Author)

2023

MJCS

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This Systematic Literature Review (SLR) examines the security threats experienced by cloud computing along with QoS by edge computing and scheduling. Various consumers and cloud service providers (CSP) obtained benefits from the cloud computing environment. However, various privacy and security challenges occur in this digital age. This SLR mainly aims to review the state of the art research studies on secure cloud computing with high QoS and its challenges. We examined numerous research studies related to cloud computing security with secure service level agreement (SLA) which are published between 2019 to 2022 from the reputed electronic databases. Cloud computing security is ensured mostly based on trust evaluation, implementation of blockchain technology, authentication, and cryptography techniques, and implementing edge computing in the cloud environment. This SLR also analyzed the research gaps of the previous research papers and provides future research directions to obtain secure cloud computing environment with high QoS performance.

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Section: Related Workmentioning

confidence: 99%

A Systematic Literature Review on Security Issues in Cloud Computing Using Edge Computing and Blockchain: Threat, Mitigation, and Future Trends

Ahmad Khan,

Mahmood Khan,

(Corresponding Author)

2023

MJCS

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“…Due to huge advantages and techniques fuzzy logic finds application in large number of fields including cloud computing, software engineering and many more. Tariq et al [19] have done the analysis of applications of fuzzy logic in various fields of cloud computing. After studying and listing the challenging areas of cloud computing the authors concluded that fuzzy logic can be used in solving problems and optimizing performance in various fields of cloud computing.…”

Section: Related Workmentioning

confidence: 99%

A Framework for Evaluating the Reusability of Software-As-A-Service Using Fuzzy Logic Approach

Deepika

Sangwan

2022

Preprint

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Cloud computing provides software and hardware resources in the form of cloud services with the help of internet. Cloud Computing is also coming forward as an efficient criterion for reuse. Software-as-a Service is one of the three types of cloud services which provides on demand software services on pay-as-you-go basis. In order to make SaaS more advantageous and to assist end users efficiently, there is a need to build a reusability model for SaaS. Reusability plays a very vital role in developing a product easily and efficiently. In this paper, we have proposed a software reusability estimation model for SaaS. We have been used Fuzzy Logic Methodology for evaluating the SaaS reusability. For this model, we used the SaaS reusability attributes i.e., Commonality, Accessibility, Availability, Customizability and Efficiency. Centroid Method is used for validating the results obtained from the proposed approach. This model evaluates the reusability of SaaS services with the required accuracy level. On the basis of experiment results, it has been proved out that machine learning techniques gives enhanced accuracy of estimation as compared to other reusability estimation techniques, found helpful and more useful for SaaS service providers as well as users.

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“…The results obtained indicate that the assessment of academic (Alwendi, 2021) performance using fuzzy logic can show differences (Baliuta et al, 2020) in the final value of lecturer research activities. (Tariq et al, 2020) Based on the explanation contained in the background (Tahri et al, 2022) a problem can be formulated, namely, (Aslam, 2020) how to determine the value of lecturer research (Alwendi & Masriadi, 2021). using the Fuzzy Mamdani (Yetilmezsoy et al, 2021) method as an alternative tool to calculate the value of lecturer research (Keviczky et al, 2019) at Graha Nusantara Padangsidimpuan University.…”

Section: Introductionmentioning

confidence: 99%

Implementation of the Mamdani Fuzzy Method to Evaluate the Performance of Lecturers in the Research Field

Alwendi

Samosir

Suo³

et al. 2023

J. Journal International Inspire Education Technology

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Today, information technology, especially soft computing technology, has grown very rapidly. One of the soft computing technologies that has been widely developed is fuzzy logic, because it can be used to measure various phenomena that are ambiguous, disguised or fuzzy. One of the research topics that uses the application of fuzzy logic is the assessment system in the field of research. Research by Lecturers at the University of Graha Nusantara Padangsidimpuan in Simlitabmas Data Still in the Guidance Category to upgrade to the Middle Category UGN Padangsidimpuan lecturers are challenged to be able to develop, devote, and apply the knowledge needed in research. For that we need an application that can be used to calculate and record the performance of Lecturers on the resulting Research. The purpose of this study is to apply fuzzy logic with the Mamdani method in assessing the research performance of lecturers at the University of Graha Nusantara Padangsidimpuan. This research uses Mamdani Fuzzy Logic. Fuzzy Mamdani method is a way to map an input space into an output space. This method is a mathematical framework used to represent uncertainty, ambiguity, imprecision, lack of information, and partial truth. The stages of research using the Mamdani method are Creating Input Variables taken from Sinta-accredited Articles, Simlitabmas Grant Articles and Articles in International and National Journals. Finding the Max-Min Value of Each Variable. Creating a fuzzy set using the Mamdani method. Creating Assertions with Defuzzification using Matlab.

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An analysis of the application of fuzzy logic in cloud computing

Cited by 12 publications

References 59 publications

A Systematic Literature Review on Security Issues in Cloud Computing Using Edge Computing and Blockchain: Threat, Mitigation, and Future Trends

A Systematic Literature Review on Security Issues in Cloud Computing Using Edge Computing and Blockchain: Threat, Mitigation, and Future Trends

A Framework for Evaluating the Reusability of Software-As-A-Service Using Fuzzy Logic Approach

Implementation of the Mamdani Fuzzy Method to Evaluate the Performance of Lecturers in the Research Field

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