A Case Study for the Application of Storage Tiering Based on ILM through Data Value Analysis
In the recent, due to explosion of Digital Universe, the performance of computer and storage system is reducing. Therefore, the upgrade and capacity expansion needs is growing. Countermeasure for this problem is required fundamental and long-term solution
- PDF / 980,305 Bytes
- 17 Pages / 439.37 x 666.142 pts Page_size
- 81 Downloads / 169 Views
Abstract In the recent, due to explosion of Digital Universe, the performance of computer and storage system is reducing. Therefore, the upgrade and capacity expansion needs is growing. Countermeasure for this problem is required fundamental and long-term solutions rather than piecemeal expansion. In this paper, we establish a data management policy for an enterprise through the operational status of storage system and the analysis of data value of it, and implement ILM-based tiered storage system on the basis of these. The results of this study shows the overall throughput was improved about 21 % compared to the existing system, it is very effective to maintain continuous quality and reduce operating costs in the long term aspect. Keywords ILM method
Data value analysis Storage Tiering Data management
1 Introduction According to the 2Q survey which was conducted for storage engineers in domestic companies by IT World Korea, 40 % of them have gone through difficulty in data increase and storage management, which is big problems for storage now, and only 29 % of them has separate data storage systems by utility and importance of data. ILM (Information Life-cycle Management) which is
C.-K. Youn (&) Department of Internet Contents, Honam University, #330, Eodeungno, Gwangsan-gu, Gwangju, South Korea e-mail: [email protected]
K. J. Kim and K.-Y. Chung (eds.), IT Convergence and Security 2012, Lecture Notes in Electrical Engineering 215, DOI: 10.1007/978-94-007-5860-5_126, Ó Springer Science+Business Media Dordrecht 2013
1037
1038
C.-K. Youn
tiering storages by data value and Tiering technology with low implementation costs are a solution for problems caused by explosive data increase but most of companies except for 10.8 % of major companies don’t plan to implement storage tiering or don’t know the technologies [1–3]. Therefore, this study would like to suggest the guide to solutions for storage problems, caused by explosive data increase, which many companies are now facing by showing how much and effective they can increase utility of existing storage systems through application of ILM and Tiering for the existing storage systems in companies and analysis of their effects as long-term and basic solutions for storage problems.
2 Analysis of System Operation Environments The company which I analyzed is a manufacturer which sells and exports its products and provides statistical service for internal report.
2.1 Status of Key Works Work importance and usage frequency were determined based on number of users in the company and influence when the works were not performed was surveyed through interviews with employees. The results are as described in Table 1.
2.2 Status of Data Management 2.2.1 Attribute and Importance of Data Data attribute was reviewed based on the work systems in Table 1. Most of work data were created, maintained, and managed through DB and email application. They could be divided largely into structured and unstructured data as described in Table 2. In this study, data with relati
Data Loading...
