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Proceedings Paper

Content-aware network storage system supporting metadata retrieval
Author(s): Ke Liu; Leihua Qin; Jingli Zhou; Xuejun Nie
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Paper Abstract

Nowadays, content-based network storage has become the hot research spot of academy and corporation[1]. In order to solve the problem of hit rate decline causing by migration and achieve the content-based query, we exploit a new content-aware storage system which supports metadata retrieval to improve the query performance. Firstly, we extend the SCSI command descriptor block to enable system understand those self-defined query requests. Secondly, the extracted metadata is encoded by extensible markup language to improve the universality. Thirdly, according to the demand of information lifecycle management (ILM), we store those data in different storage level and use corresponding query strategy to retrieval them. Fourthly, as the file content identifier plays an important role in locating data and calculating block correlation, we use it to fetch files and sort query results through friendly user interface. Finally, the experiments indicate that the retrieval strategy and sort algorithm have enhanced the retrieval efficiency and precision.

Paper Details

Date Published: 19 March 2009
PDF: 7 pages
Proc. SPIE 7125, Eighth International Symposium on Optical Storage and 2008 International Workshop on Information Data Storage, 71251G (19 March 2009); doi: 10.1117/12.824655
Show Author Affiliations
Ke Liu, Huazhong Univ. of Science and Technology (China)
Leihua Qin, Huazhong Univ. of Science and Technology (China)
Jingli Zhou, Huazhong Univ. of Science and Technology (China)
Xuejun Nie, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 7125:
Eighth International Symposium on Optical Storage and 2008 International Workshop on Information Data Storage
Fuxi Gan, Editor(s)

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