A Large Site Centralized Data Classification Strategy Based on User Value

Abstract:

In large-scale storage system, variety of calculations, transfer, and storage devices both in performance and in characteristics such as reliability, there are physical differences. While operational load data access for storage devices is also not uniform, there is a big difference in space and time. If all the data is stored in the high-performance equipment is unrealistic and unwise. Hierarchical storage concept effectively solves this problem. It is able to monitor the data access loads, and depending on the load and application requirements based on storage resources optimally configure properties [1]. Traditional classification policy is generally against file data, based on frequency of access to files, file IO heat index for classification. This paper embarks from the website user value concept, aiming at the disadvantages of traditional data classification strategy, puts forward the centralized data classification strategy based on user value.

• Periodical: Advanced Materials Research (Volumes 1030-1032)
• Pages: 1619-1622
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1030-1032.1619
• Online since: September 2014
• Authors: Bing Xin Zhu*, Jing Tao Li
• Keywords: Hierarchical Storage, Hierarchical Strategy, User Value

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DOI: 10.1007/s11227-007-0135-3

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