Advertisement

A Case Study for the Application of Storage Tiering Based on ILM through Data Value Analysis

  • Chun-Kyun Youn
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 215)

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 Data value analysis Storage Tiering Data management method 

References

  1. 1.
    http://www.ciokorea.com/ciolibrary/9138 Sharp increase of data, we need a storage-oriented strategy, IDG Research White paper, 2011
  2. 2.
    Kweon H (2004) Acceptance of ILM strategy. Netw times 135:137–139Google Scholar
  3. 3.
    Twentyman J (2006) The ILM imperative: smart use of the data storage infrastructure is helping many companies tackle data management and compliance burdens-but an information life-cycle management strategy requires a lot of upfront effort. EI Ark Group 3(5):12–15Google Scholar
  4. 4.
    Baffa C (2005) ILM for life sciences: the next big storage play?. Comput Technol Rev 24Google Scholar
  5. 5.
    EMC (2011) http://korea.emc.com/collateral/article/ on25-summer.pdf, Information Life-cycle Management, EMC
  6. 6.
    Amelang M (2005) ILM, tiered storage and active archive form a powerful trio Companies embrace information lifecycle management to meet explosive data growth challenges. World Oil 226(11):63–66Google Scholar
  7. 7.
    Jeong SR, Shin DW (2009) Improving the utilization and efficiency of enterprise architecture (EA) through the implementation of information lifecycle management (ILM)-based EA system. Ocean Sci J 6(2):107–121Google Scholar
  8. 8.
    Lee HS (2000) A plan to build enterprise storage system using storage area network concept. Yonsei University Major in Computer Engineering Graduate School of EngineeringGoogle Scholar
  9. 9.
    Kim D (2009) Archiving system construction based on database for ILM implementation. Korean Inf Process Soc 16(02):0737–0738Google Scholar
  10. 10.
    Im J-H, Lee C-G, Lee Y-J (2005) The information value-based document management technique using the information lifecycle management theory. Korea Soc Simul 14(4):19–30Google Scholar
  11. 11.
    Kim SE (2010) Storage technology issue: cloud data center should reduce the Information management complexity. Netw Times 202:131–144Google Scholar
  12. 12.
  13. 13.

Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  1. 1.Department of Internet ContentsHonam UniversityGwangjuSouth Korea

Personalised recommendations