4.6 Article

A Dynamic Decision Support System for Selection of Cloud Storage Provider

期刊

APPLIED SCIENCES-BASEL
卷 11, 期 23, 页码 -

出版社

MDPI
DOI: 10.3390/app112311296

关键词

cloud computing; decision support system; cloud storage; ranking

资金

  1. National Research Foundation of Korea (NRF) - Korean government (MSIT) [2020R1A2C1010366]
  2. Basic Science Research Program through the National Research Foundation of Korea (NRF) - Ministry of Education [2021R1A6A1A03039493]
  3. MSIT, Korea, under the ITRC (Information Technology Research Center) support program [IITP-2021-2016-0-00313]
  4. National Research Foundation of Korea [2020R1A2C1010366, 2021R1A6A1A03039493] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

向作者/读者索取更多资源

In recent years, the cloud computing model has gained increasing attention in the field of information technology. Selecting an appropriate cloud storage provider is a complex problem involving technical and organizational aspects. A dynamic Decision Support System (DSS) was proposed to aid in selecting the right 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, 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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据