• Journal of Internet Computing and Services
    ISSN 2287 - 1136 (Online) / ISSN 1598 - 0170 (Print)
    https://jics.or.kr/
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A method of Securing Mass Storage for SQL Server by Sharing Network Disks - on the Amazon EC2 Windows Environments -


Sungwook Kang, Jungsun Choi, Jaeyoung Choi, Journal of Internet Computing and Services, Vol. 17, No. 2, pp. 1-10, Apr. 2016
10.7472/jksii.2016.17.2.01, Full Text:  HTML
Keywords: Cloud Storage, SQL Server, Network disk sharing, Amazon EC2, Amazon EBS

Abstract

Users are provided infrastructure such as CPU, memory, network, and storage as IaaS (Infrastructure as a Service) service on cloud computing environments. However storage instances cannot support the maximum storage capacity that SQL servers can use, because the capacity of instances provided by service providers is usually limited. In this paper, we propose a method of securing mass storage capacity for SQL servers by sharing network disks with limited storage capacity. We confirmed through experiments that it is possible to secure mass storage capacity, which exceeds the maximum storage capacity provided by an instance with Amazon EBS on Amazon EC2 Windows environments, and it is possible to improve the overall performance of the SQL servers by increasing the disk capacity and performance.


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Cite this article
[APA Style]
Kang, S., Choi, J., & Choi, J. (2016). A method of Securing Mass Storage for SQL Server by Sharing Network Disks - on the Amazon EC2 Windows Environments -. Journal of Internet Computing and Services, 17(2), 1-10. DOI: 10.7472/jksii.2016.17.2.01.

[IEEE Style]
S. Kang, J. Choi, J. Choi, "A method of Securing Mass Storage for SQL Server by Sharing Network Disks - on the Amazon EC2 Windows Environments -," Journal of Internet Computing and Services, vol. 17, no. 2, pp. 1-10, 2016. DOI: 10.7472/jksii.2016.17.2.01.

[ACM Style]
Sungwook Kang, Jungsun Choi, and Jaeyoung Choi. 2016. A method of Securing Mass Storage for SQL Server by Sharing Network Disks - on the Amazon EC2 Windows Environments -. Journal of Internet Computing and Services, 17, 2, (2016), 1-10. DOI: 10.7472/jksii.2016.17.2.01.