Low-latency processing for data streams by parallelly evaluating multiple operators in multi-core environments
| Project/Area Number |
24700087
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Media informatics/Database
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| Research Institution | Nagoya University (2014-2015)
Tokyo Institute of Technology (2012-2013) |
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Principal Investigator |
Watanabe Yousuke 名古屋大学, 未来社会創造機構, 特任准教授 (80532944)
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| Project Period (FY) |
2012-04-01 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2014: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2013: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
Fiscal Year 2012: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
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| Keywords | データストリーム / マルチコア / 並列処理 / 情報源選択 / RDFデータ |
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| Outline of Final Research Achievements |
Data streams which produce sequences of data according to time progress are increasing, thus data stream processing technologies have been focused. Since they often needs realtime processing, how to reduce latency caused by data processing is one of important research issues. The main purpose of this research is to achieve a parallel evaluation method for multiple operators by utilizing multi-core environments. The proposed method can treat not only simple queries such as product and selection operators, but also complex queries including M-way joins. And, the prototype system developed in this research supports dynamic information source selection, which cannot be covered by conventional query optimization methods.
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Report
(5 results)
Research Products
(9 results)
