Presentation 2005-07-14
Issues in Modeling and Management of Semi-Persistent Data
Kai CHENG, Mizuho IWAIHARA, Kazuo USHIJIMA,
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Abstract(in English) Research in data engineering has been dealt with two categories of data. One is persistent data, data that will be stored permanently until being explicitly deleted or modified. The other is stream data, time-stamped data that arrive at varying rates and will not be stored at all for further access. However, there is another important kind of data that cannot fall into either of these categories, for example, cache data, data collected by search engine crawlers, secret data, which will be stored but will not fix in disks for every. We call data with definite lifetime semi-persistent data. Aimed to develop a complete new Semi-Persistent Data Management System (SPDMS), we will investigate a number of issues concerned with semi-persistent data modeling, self-organization, and characteristics of structured, semi-structured and unstructured semi -persistent data. In conclusion, we outline a research agenda for the new promising field.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Semi-Persistent Data / Data Modeling / Stream Data / Data Lifecycle Management
Paper # DE2005-70
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Conference Information
Committee DE
Conference Date 2005/7/7(1days)
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Registration To Data Engineering (DE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Issues in Modeling and Management of Semi-Persistent Data
Sub Title (in English)
Keyword(1) Semi-Persistent Data
Keyword(2) Data Modeling
Keyword(3) Stream Data
Keyword(4) Data Lifecycle Management
1st Author's Name Kai CHENG
1st Author's Affiliation Faculty of Information Science, Kyusan University()
2nd Author's Name Mizuho IWAIHARA
2nd Author's Affiliation Graduate School of Informatics, Kyoto University
3rd Author's Name Kazuo USHIJIMA
3rd Author's Affiliation Faculty of Information Science, Kyusan University
Date 2005-07-14
Paper # DE2005-70
Volume (vol) vol.105
Number (no) 172
Page pp.pp.-
#Pages 5
Date of Issue