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200331

Fuzzy Logic Based Resource Provisioning in Cloud Computing

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Last updated: 23 Jan 2023

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Abstract

Cloud computing, the well-known virtualized data storage technique, being one of the most advantageous emerging technologies that attract the attention of majority of researchers in the field of Computer Science and information technology. One of the accompanying challenges is the accurate and logical provisioning of resources. The choice is between private and public cloud service providers. Organizations prefer hybrid clouds keeping their critical data on relatively secured and efficient private cloud services and remaining data on more economically viable public cloud services. This work aims to facilitate decision making process in order to determine the choice of service provider for any particular process by using rule based fuzzy logic technique by utilizing human minds and deep learning. The decision is based on parameters such as priority, age and execution time required for the process. Cloud sim and Matlab tools are used for the purpose of fulfilling the requirements of proposed technique. The simulation results are impressive in terms of security, accuracy, response time and resource utilization. The response time in fuzzy Logic rule based approach is measured in nano seconds and CPU utilization in seconds for our convenience.

DOI

10.21608/aeta.2019.200331

Keywords

Cloud Computing, Resource Provisioning, Hybrid Cloud, Fuzzy Logic, Soft Computi

Authors

First Name

Pooja

Last Name

Chopra

MiddleName

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Affiliation

Department of Computer Applications, I.K.G PTU, Jalandhar, India

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Orcid

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First Name

RPS

Last Name

Bedi

MiddleName

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Affiliation

I.K.G PTU, Jalandhar, India.

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Volume

8

Article Issue

1

Related Issue

28265

Issue Date

2019-01-01

Receive Date

2021-10-19

Publish Date

2019-01-01

Page Start

1

Page End

9

Print ISSN

2090-9535

Online ISSN

2090-9543

Link

https://aeta.journals.ekb.eg/article_200331.html

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https://aeta.journals.ekb.eg/service?article_code=200331

Order

200,331

Type

Original Article

Type Code

2,017

Publication Type

Journal

Publication Title

Advanced Engineering Technology and Application

Publication Link

https://aeta.journals.ekb.eg/

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Article

Created At

23 Jan 2023