Presentation 2005-07-14
A Data Model for Integrating Time Series Databases and Stream Processing
Shinichi YAMADA, Yousuke WATANABE, Hiroyuki KITAGAWA,
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Abstract(in English) Today, the amount of data delivered as data streams is increasing, and query processing of data streams has become important. There are various types of requirements, such as archiving and querying streams as historical data, processing continuous queries over incoming data, and integrating historical data and incoming data. Our goal is to develop a system to meet these requirements by combining a stream processing engine, RDBMSs and time-series databases. In general, these component-systems have quite different characteristics. In this paper, we propose a new data model for their integration. It models data streams as special relations which consist of current part and historical part. It provides operations to invoke many functions supported by time-series databases. We also explain an architecture of our prototype system.
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Keyword(in English) Data Stream / Data Model / Time Series Database / Information Integration
Paper # DE2005-69
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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) A Data Model for Integrating Time Series Databases and Stream Processing
Sub Title (in English)
Keyword(1) Data Stream
Keyword(2) Data Model
Keyword(3) Time Series Database
Keyword(4) Information Integration
1st Author's Name Shinichi YAMADA
1st Author's Affiliation Graduate School of Systems and Information Engineering, University of Tsukuba()
2nd Author's Name Yousuke WATANABE
2nd Author's Affiliation Graduate School of Systems and Information Engineering, University of Tsukuba
3rd Author's Name Hiroyuki KITAGAWA
3rd Author's Affiliation Graduate School of Systems and Information Engineering, University of Tsukuba:Center for Computational Sciences, University of Tsukuba
Date 2005-07-14
Paper # DE2005-69
Volume (vol) vol.105
Number (no) 172
Page pp.pp.-
#Pages 6
Date of Issue