Performance of OnPrem Versus Azure SQL Server: A Case Study

被引:4
|
作者
Gyorodi, Robert [1 ]
Pavel, Marius Iulian [2 ]
Gyorodi, Cornelia [1 ]
Zmaranda, Doina [1 ]
机构
[1] Univ Oradea, Dept Comp Sci & Informat Technol, Oradea 410087, Romania
[2] Univ Oradea, Fac Elect Engn & Informat Technol, Dept Comp Sci & Informat Technol, Oradea 410087, Romania
来源
IEEE ACCESS | 2019年 / 7卷
关键词
Cloud; database; data storage; Microsoft Azure; Microsoft SQL Server; on-premises;
D O I
10.1109/ACCESS.2019.2893333
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents a comparative study between on-premises databases and cloud databases regarding the response time of the database. It focuses on presenting the advantages of storing data and applications in the cloud and, of course, on managing it in comparison with managing the same data and applications locally on one or more physical machines. A Microsoft Azure account was created to manage the database that is stored in the cloud. To achieve comparative results, a specific testing architecture that uses a Universal Windows Platform app was created and used. The application is running locally on multiple physical machines and works with that database to extract data, operate, and upload new data. For local tests, the database was stored locally on a server, with and without replication, and for cloud tests, it was stored into a server in Central US. This paper provides a practical approach that could be used for examining the performance of basic database operations when dealing with a different number of user situations. As a result of tests carried out, we will highlight the many advantages of cloud data storage, such as data accessibility, speed, security, automation, and disaster recovery, and we will also try to offer an answer to the most common and important question: "Why cloud?"
引用
收藏
页码:15894 / 15902
页数:9
相关论文
共 50 条
  • [1] Support of temporal data on the MS SQL Server and Azure SQL Database platform
    Lachecinski, Sebastian
    [J]. PRZEGLAD ELEKTROTECHNICZNY, 2020, 96 (12): : 95 - 101
  • [2] Advanced mechanisms of data exchange and processing in the SQL Server and Azure SQL Database environment with the use JSON']JSON standard
    Drzymala, Pawel
    Welfle, Henryk
    [J]. PRZEGLAD ELEKTROTECHNICZNY, 2019, 95 (01): : 25 - 28
  • [3] Evaluation of Sub Query Performance in SQL Server
    Oktavia, Tanty
    Sujarwo, Surya
    [J]. ICASCE 2013 - INTERNATIONAL CONFERENCE ON ADVANCES SCIENCE AND CONTEMPORARY ENGINEERING, 2014, 68
  • [4] Study on the security of Microsoft SQL Server
    Hou, Yijun
    Wang, Ruchuan
    [J]. Nanjing Youdian Xueyuan Xuebao/Journal of Nanjing Institute of Posts and Telecommunications, 2000, 20 (03): : 81 - 84
  • [5] Study of XML & SQL server and application in distributed integration
    Qiu Peng
    Chen Jian-hui
    Chang Qing
    [J]. ICEMI 2007: PROCEEDINGS OF 2007 8TH INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT & INSTRUMENTS, VOL IV, 2007, : 369 - 372
  • [6] Study on Strategy of Account Security Based on SQL Server Database
    Zhang, Hong-yan
    Wang, Wei
    [J]. 2009 INTERNATIONAL CONFERENCE ON E-BUSINESS AND INFORMATION SYSTEM SECURITY, VOLS 1 AND 2, 2009, : 1183 - 1185
  • [7] SQL Server中CASE语句的教学研究
    蔡柳萍
    [J]. 计算机光盘软件与应用, 2012, (11) : 253 - 253
  • [8] Performance evaluation sql-on-hadoop: a case study of Hortonworks and Cloudera
    Ronianto, M. Faridh
    Asror, Ibnu
    Prabowo, Sidik
    Nugraha, Fajar Arief
    [J]. 2ND INTERNATIONAL CONFERENCE ON DATA AND INFORMATION SCIENCE, 2019, 1192
  • [9] Teaching SQL: A Case Study
    Caldeira, Carlos Pampulim
    [J]. ITICSE '08: PROCEEDINGS OF THE 13TH ANNUAL CONFERENCE ON INNOVATION AND TECHNOLOGY IN COMPUTER SCIENCE EDUCATION, 2008, : 340 - 340
  • [10] Performance testing on Transparent Data Encryption for SQL Server's reliability and efficiency
    Evaristus Didik Madyatmadja
    Aditya Nur Hakim
    David Jumpa Malem Sembiring
    [J]. Journal of Big Data, 8