Presentation 2011-06-06
ストリームに起因する連続的トランザクション呼び出しの効率化(一般セッション,大規模マルチメディアデータを対象とした次世代検索およびマイニング)
Masafumi OYAMADA, Hideyuki KAWASHIMA, Hiroyuki KITAGAWA,
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Abstract(in English) Continually generating data has been increasing including access histories or sensor data. These are referred to as stream data, and they are often processed by stream processing engines (SPEs) in real-time. When an SPE needs to use functions of a database system, either the internal mechanism of a DBMS should be implemented inside SPE, or an SPE and a DBMS should be federated. The latter approach requires continual transaction invocations to the external DBMS, and its efficient execution is necessary. To this problem, this paper proposes an efficient invocation method that preserves the order of invocations for asynchronous transaction executions. The result of experiments shows that our proposal is about 35 times better than naive method that invokes transactions synchronously.
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Keyword(in English) Stream Data Processing
Paper # DE2011-2,PRMU2011-33
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Conference Information
Committee DE
Conference Date 2011/5/30(1days)
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Paper Information
Registration To Data Engineering (DE)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English)
Sub Title (in English)
Keyword(1) Stream Data Processing
1st Author's Name Masafumi OYAMADA
1st Author's Affiliation Graduate School of Systems and Information Engineering, University of Tsukuba()
2nd Author's Name Hideyuki KAWASHIMA
2nd Author's Affiliation Graduate School of Systems and Information Engineering and Center for Computational Sciences, University of Tsukuba
3rd Author's Name Hiroyuki KITAGAWA
3rd Author's Affiliation Graduate School of Systems and Information Engineering and Center for Computational Sciences, University of Tsukuba
Date 2011-06-06
Paper # DE2011-2,PRMU2011-33
Volume (vol) vol.111
Number (no) 76
Page pp.pp.-
#Pages 6
Date of Issue