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Paper Abstract and Keywords
Presentation 2004-12-10 16:00
Proposing a Database System for Sensor Networks
Hideyuki Kawashima, Michita Imai, Motomichi Toyama, Yuichiro Anzai (Keio Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes a sensor database system KRAFT. KRAFT is a database system that supports a variety of sensor data, and provides the following features: (1)freshness for sensor data without losing persistence,
(2)abstract data type for sensor data, and (3)continual monitoring. To provide the feature (1), KRAFT uses remote memory as WAL files instead of local disk. Each log record is sent to a remote log server with TCP concurrently. At recovery, all of the log records at the remote log server are collected and sorted by ascending time order and sent back idempotently to the database server. To provide the feature (2), KRAFT extends relational data model, and permits users to make SENSOR TYPE to retrieve similar sequences with euclid or dynamic time warping metric and to retrieve the last sensor data. To provide the feature (3), KRAFT permits to make MONITOR that periodically executes query inside KRAFT. We applied KRAFT for a humanoid robot called Robovie, and measured the staleness of sensor data. The results of experiments indicated that KRAFT provides good freshness of sensor data and good scalability.
Keyword (in Japanese) (See Japanese page) 
(in English) data freshness / real-time response / continual query / sensor data / robot / / /  
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Conference Information
Committee SN  
Conference Date 2004-12-09 - 2004-12-10 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokyo Denki University Kanda Campus 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Sensor Network Conference 
Paper Information
Registration To SN 
Conference Code 2004-12-SN 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Proposing a Database System for Sensor Networks 
Sub Title (in English)  
Keyword(1) data freshness  
Keyword(2) real-time response  
Keyword(3) continual query  
Keyword(4) sensor data  
Keyword(5) robot  
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1st Author's Name Hideyuki Kawashima  
1st Author's Affiliation Graduate School of Keio University (Keio Univ.)
2nd Author's Name Michita Imai  
2nd Author's Affiliation Keio University (Keio Univ.)
3rd Author's Name Motomichi Toyama  
3rd Author's Affiliation Keio University (Keio Univ.)
4th Author's Name Yuichiro Anzai  
4th Author's Affiliation Keio University (Keio Univ.)
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Speaker Author-1 
Date Time 2004-12-10 16:00:00 
Presentation Time 20 minutes 
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