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Paper Abstract and Keywords
Presentation 2006-07-13 13:25
Data Lifetime Management Method in Stream Data Processing
Tsuneyuki Imaki, Itaru Nishizawa (Hitachi, Ltd.)
Abstract (in Japanese) (See Japanese page) 
(in English) Emerging RFID technology and sensor network systems produce huge amount of data, and modern enterprise data processing systems must handle the huge amount of data in the real-time fashion. Stream data processing, which continuously processes the data in the real-time fashion, has proposed and accepted as a new data processing paradigm. Data lifetime notion is essential in the stream data processing because it requires extracting the target data from infinite data sequences using the notion. Negative Tuple Method (NT) and Direct Method (DT) have been proposed to manage the data lifetime. Although DT outperforms NT in the system throughput, it cannot be applied to some basic query processing operators due to its processing mechanism. This paper proposes a new data lifetime management method which extends DT to enable applying it to the basic query processing operators as the same as NT. Moreover, we have confirmed by experiments that our new data lifetime management method outperforms NT by 1.4-2.0 times in the system throughput.
Keyword (in Japanese) (See Japanese page) 
(in English) Stream / Window / Continous Query / CQL / / / /  
Reference Info. IEICE Tech. Rep., vol. 106, no. 149, DE2006-85, pp. 209-214, July 2006.
Paper # DE2006-85 
Date of Issue 2006-07-06 (DE) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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Conference Information
Committee DE  
Conference Date 2006-07-12 - 2006-07-14 
Place (in Japanese) (See Japanese page) 
Place (in English) HOTEL SENKEI 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Data Engineering, etc. 
Paper Information
Registration To DE 
Conference Code 2006-07-DE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Data Lifetime Management Method in Stream Data Processing 
Sub Title (in English)  
Keyword(1) Stream  
Keyword(2) Window  
Keyword(3) Continous Query  
Keyword(4) CQL  
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1st Author's Name Tsuneyuki Imaki  
1st Author's Affiliation Hitachi, Ltd.,Central Research Laboratory (Hitachi, Ltd.)
2nd Author's Name Itaru Nishizawa  
2nd Author's Affiliation Hitachi, Ltd.,Central Research Laboratory (Hitachi, Ltd.)
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Speaker
Date Time 2006-07-13 13:25:00 
Presentation Time 20 
Registration for DE 
Paper # IEICE-DE2006-85 
Volume (vol) IEICE-106 
Number (no) no.149 
Page pp.209-214 
#Pages IEICE-6 
Date of Issue IEICE-DE-2006-07-06 


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