| Project/Area Number |
26280037
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Partial Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Multimedia database
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| Research Institution | University of Tsukuba |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
天笠 俊之 筑波大学, システム情報系, 准教授 (70314531)
早瀬 康裕 筑波大学, システム情報系, 助教 (40423090)
渡辺 知恵美 筑波大学, システム情報系, 助教 (20362832)
塩川 浩昭 筑波大学, 計算科学研究センター, 助教 (90775248)
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| Co-Investigator(Renkei-kenkyūsha) |
TAKAHASHI DAISUKE 筑波大学, 計算科学研究センター, 教授 (00292714)
WATANABE YOUSUKE 名古屋大学, 未来社会創造機構, 准教授 (80532944)
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| Project Period (FY) |
2014-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥17,160,000 (Direct Cost: ¥13,200,000、Indirect Cost: ¥3,960,000)
Fiscal Year 2016: ¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000)
Fiscal Year 2015: ¥5,980,000 (Direct Cost: ¥4,600,000、Indirect Cost: ¥1,380,000)
Fiscal Year 2014: ¥6,240,000 (Direct Cost: ¥4,800,000、Indirect Cost: ¥1,440,000)
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| Keywords | 大規模不均質データ / データ分析 / 複合型並列計算環境 |
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| Outline of Final Research Achievements |
The goal is to develop real-time analytics frameworks for big heterogeneous data in composite parallel computing environments. The main research outcomes cover the following topics: data modeling and data description for big heterogeneous data analytics, system architecture implementing the data model, massively parallel GPU-based data analytics, high performance data analytics using many core processors, efficient data analytics using incremental computation, semistructured stream filtering using intrinsic structures and keywords, real-time matching of multiple text streams, keyword query processing of multiple relational streams, and generation of optimal data analytics plans including fine grain and coarse grain data processing.
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