Presentation | 2006-07-13 Data Lifetime Management Method in Stream Data Processing Tsuneyuki IMAKI, Itaru NISHIZAWA, |
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Abstract(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) |
Keyword(in English) | Stream / Window / Continuous Query / CQL |
Paper # | DE2006-86 |
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Committee | DE |
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Conference Date | 2006/7/6(1days) |
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Paper Information | |
Registration To | Data Engineering (DE) |
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Language | JPN |
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) | Continuous Query |
Keyword(4) | CQL |
1st Author's Name | Tsuneyuki IMAKI |
1st Author's Affiliation | Hitachi, Ltd., Central Research Laboratory() |
2nd Author's Name | Itaru NISHIZAWA |
2nd Author's Affiliation | Hitachi, Ltd., Central Research Laboratory |
Date | 2006-07-13 |
Paper # | DE2006-86 |
Volume (vol) | vol.106 |
Number (no) | 149 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |