文章基本信息

标题：ANALYTIC HIERARCHY PROCESS (AHP) FRAMEWORK FOR RANKING CLOUD ‎DATABASES
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作者：FATIMA ALZAHRA MOTASIM ; ADIL YOUSIF
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2020
卷号：98
期号：7
页码：1067-1077
出版社：Journal of Theoretical and Applied
摘要：With the emergence of cloud computing, many organizations started to offer cloud services to various costumer on the basis of their functional and non-functional demand. Cloud databases promise high performance, high availability and elastic scalability. In addition, consistency, efficiency cost and reliability multi tenancy are critical features of cloud databases. Although there are many ranking frameworks for cloud services, there is no distinct framework of ranking cloud databases. There is a need for framework for ranking cloud databases that automatically index cloud providers based on user's needs. To handle this problem, this paper proposed a framework for ranking cloud databases. To build this framework the research studied attributes and sub-attributes that are important for database. Then the research focuses on attributes and subattributes added by cloud databases. To calculate the ranking of the proposed framework the Analytic Hierarchy Process (AHP) model is employed. The advantage of AHP as it deals with any number of attributes and sub-attributes. The proposed framework automatically index cloud provider's databases based on user's needs. To evaluate the proposed framework a matlab experiments were developed. The results of the experiments and the evaluation process revealed that the proposed framework enhanced the ranking process of cloud databases.
关键词：Cloud computing;Database;Quality of service;Ranking.