文章基本信息

标题：Experimental Evaluation of Cloud Database Management Systems
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作者：Irfana MEMON ; Saima Muneer ; Shahazana 等
期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2020
卷号：20
期号：2
页码：131-139
出版社：International Journal of Computer Science and Network Security
摘要：Nowadays, most of the organizations create more data in electronic format storage room is turning out to be progressively imperative. Thus, organizations are facing the challenges of managing, sharing, and updating data among the management. Cloud storage is the answer for all. The Cloud computing is the best stage for the enormous Database. From database point of view response time is also important, how quickly your database is responding? In paper, we present a study of Database management system (DBMS) in cloud computing. We analyze the performance of different CDBMS (cloud database management systems). We have compared two cloud services to analyze the performance in terms of query response time. We used SQL Management Studio software for analysis. We have done the performance evaluation of two cloud services (i.e., Windows azur, and Amazon) using different query operations and DML (Data manipulation language) like SELECT, INSERT, UPDATE, DELETE. Results illustrates that the Azure cloud database is taking less time when using just SELECT statement while with rest of the statements, Amazon’s cloud database performance is far better than Azure cloud database.