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Published Articles >> Table of Contents >> Abstract
22nd International Conference on Data Engineering Workshops (ICDEW'06)
p. x125
Treatment of Rules in Individual Metadata of Flexible Contents Management
Kensuke Ohta, Tokyo Institute of Technology, Japan
Dai Kobayashi, Tokyo Institute of Technology, Japan
Takashi Kobayashi, Tokyo Institute of Technology, Japan
Ryo Taguchi, Japan Broadcasting Corporation
Haruo Yokota, Tokyo Institute of Technology, Japan
Full Article Text:
 
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDEW.2006.153
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| Abstract |
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The properties of contents stored in a computer system
are very wide while the data volume treated in the system
becomes very large. It is important to treat each stored object
in different manners to reject its properties in the data
management for the large amount of stored data. To satisfy
the requirement, we propose a method for the autonomous
management based on ECA rules stored in metadata of the
contents. We study the feasibility of treating a large number
of ECA rules corresponding to the number of stored objects.
Because the cost for evaluating conditions in the rules becomes
dominant to the system perfornzance when the number
of objects increases, we divide the conditions into two
types, previously evaluable conditions and nuttime evaluable
conditions, and construct a discrimination network for
the previously evaluable conditions of each event to reduce
the cost for processing the rules. We implement the methods
in the autonomous disk system, a high functional storage
system we proposed, and evaluate the eficiency of them.
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 Additional Information
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Citation:
Kensuke Ohta, Dai Kobayashi, Takashi Kobayashi, Ryo Taguchi, Haruo Yokota,
"Treatment of Rules in Individual Metadata of Flexible Contents Management,"
icdew,
p. x125,
22nd International Conference on Data Engineering Workshops (ICDEW'06),
2006
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