A Dynamic Decision Support System for Selection of Cloud Storage Provider
In recent years, the cloud computing model has gained increasing attention and popularity in the field of information technology. For this reason, people are migrating their applications to public, private, or hybrid cloud environments. Many cloud vendors offer similar features with varying costs, s...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-11-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/11/23/11296 |
| _version_ | 1797508095965921280 |
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| author | Abdul Mateen Seung Yeob Nam Muhammad Ali Haider Abdul Hanan |
| author_facet | Abdul Mateen Seung Yeob Nam Muhammad Ali Haider Abdul Hanan |
| author_sort | Abdul Mateen |
| collection | DOAJ |
| description | In recent years, the cloud computing model has gained increasing attention and popularity in the field of information technology. For this reason, people are migrating their applications to public, private, or hybrid cloud environments. Many cloud vendors offer similar features with varying costs, so an appropriate choice will be the key to guaranteeing comparatively low operational costs for an organization. The motivation for this work is the necessity to select an appropriate cloud storage provider offering for the migration of applications with less cost and high performance. However, the selection of a suitable cloud storage provider is a complex problem that entails various technical and organizational aspects. In this research, a dynamic Decision Support System (DSS) for selection of an appropriate cloud storage provider is proposed. A web-based application is implemented using PHP and MySQL to facilitate decision makers. The proposed mechanism has been optimized in a way that enables the system to address static database issues for which a user might not acquire the best solution. It focuses on comparing and ranking cloud storage providers by using two modules: scraping and parsing. The evaluation of the proposed system is carried out with appropriate test cases and compared with existing tools and frameworks. |
| first_indexed | 2024-03-10T04:57:29Z |
| format | Article |
| id | doaj.art-a5844fcbb9914654aff17a966958ca11 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T04:57:29Z |
| publishDate | 2021-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-a5844fcbb9914654aff17a966958ca112023-11-23T02:05:49ZengMDPI AGApplied Sciences2076-34172021-11-0111231129610.3390/app112311296A Dynamic Decision Support System for Selection of Cloud Storage ProviderAbdul Mateen0Seung Yeob Nam1Muhammad Ali Haider2Abdul Hanan3Information and Communication Engineering Department, Yeungnam University, Gyeongsan 38541, KoreaInformation and Communication Engineering Department, Yeungnam University, Gyeongsan 38541, KoreaDepartment of Computer Science, Federal Urdu University of Arts, Science & Technology, Islamabad 44000, PakistanDepartment of Computer Science, CECOS University, Peshawar 25120, PakistanIn recent years, the cloud computing model has gained increasing attention and popularity in the field of information technology. For this reason, people are migrating their applications to public, private, or hybrid cloud environments. Many cloud vendors offer similar features with varying costs, so an appropriate choice will be the key to guaranteeing comparatively low operational costs for an organization. The motivation for this work is the necessity to select an appropriate cloud storage provider offering for the migration of applications with less cost and high performance. However, the selection of a suitable cloud storage provider is a complex problem that entails various technical and organizational aspects. In this research, a dynamic Decision Support System (DSS) for selection of an appropriate cloud storage provider is proposed. A web-based application is implemented using PHP and MySQL to facilitate decision makers. The proposed mechanism has been optimized in a way that enables the system to address static database issues for which a user might not acquire the best solution. It focuses on comparing and ranking cloud storage providers by using two modules: scraping and parsing. The evaluation of the proposed system is carried out with appropriate test cases and compared with existing tools and frameworks.https://www.mdpi.com/2076-3417/11/23/11296cloud computingdecision support systemcloud storageranking |
| spellingShingle | Abdul Mateen Seung Yeob Nam Muhammad Ali Haider Abdul Hanan A Dynamic Decision Support System for Selection of Cloud Storage Provider Applied Sciences cloud computing decision support system cloud storage ranking |
| title | A Dynamic Decision Support System for Selection of Cloud Storage Provider |
| title_full | A Dynamic Decision Support System for Selection of Cloud Storage Provider |
| title_fullStr | A Dynamic Decision Support System for Selection of Cloud Storage Provider |
| title_full_unstemmed | A Dynamic Decision Support System for Selection of Cloud Storage Provider |
| title_short | A Dynamic Decision Support System for Selection of Cloud Storage Provider |
| title_sort | dynamic decision support system for selection of cloud storage provider |
| topic | cloud computing decision support system cloud storage ranking |
| url | https://www.mdpi.com/2076-3417/11/23/11296 |
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