NDLI: Information Valuation for Information Lifecycle Management

Content Provider	IEEE Xplore Digital Library
Author	Ying Chen
Copyright Year	2005
Description	Author affiliation: Dept. of Storage Syst., IBM Almaden Res. Center, San Jose, CA (Ying Chen)
Abstract	The foremost crucial step towards a fully automated information lifecycle management (ILM) is to differentiate information by values in an unbiased manner and understand how values change over time. This paper presents an information valuation approach that quantifies the value of a given piece of information based on its usage over time. Our case study based on several real world NFS file server traces collected from Harvard University shows that such a model is simple, effective, and tangible since it relies on measurable metrics and observable facts. It captures the changing nature of the file value throughout their lifecycles, reflects the value differences among different files, and hence allows one to compare and classify files. More importantly, through additional analysis of the model outputs one can gain new insights into files, e.g., what files are most valuable and when. We show that files in different value classes exhibit different characteristics and can be characterized by unique sets of attributes. By devising algorithms to extract such attributes automatically for different classes of files, storage systems can predict what class a file would belong to early in its lifecycle, e.g., at the creation time. The file valuation, classification, and class membership prediction can then guide a wide range of new optimizations, e.g., data placement across tiered storage and data protection
Sponsorship	IEEE Comput. Soc. Nat. Sci. Found
Starting Page	135
Ending Page	146
File Size	244578
Page Count	12
File Format	PDF
ISBN	0796522769
DOI	10.1109/ICAC.2005.35
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-06-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cost accounting Information management Storage automation Resource management Databases File servers Data mining Protection Availability US Department of Defense
Content Type	Text
Resource Type	Article

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2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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