Real-time Analytics Frameworks for Big Heterogeneous Data in Composite Parallel Computing Environments
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 |
Section | 一般 |
Research Field |
Multimedia database
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Research Institution | University of Tsukuba |
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)
|
Keywords | 大規模不均質データ / データ分析 / 複合型並列計算環境 |
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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Report
(4 results)
Research Products
(42 results)
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[Journal Article] Accelerating Set Similarity Joins Using GPUs2016
Author(s)
Mateus S. H. Cruz,Yusuke Kozawa, Toshiyuki Amagasa, Hiroyuki Kitagawa
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Journal Title
Transactions on Large-Scale Data and Knowledge-Centered Systems XXVIII: Special Issue on Database and Expert Systems Applications (TLDKS)
Volume: -
Pages: 1-22
DOI
ISBN
9783662534540, 9783662534557
Related Report
Peer Reviewed / Open Access / Acknowledgement Compliant
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[Presentation] Grid-Index Algorithm for Reverse Rank Queries2017
Author(s)
Yuyang Dong, Hanxiong Chen, Jeffrey Xu Yu, Kazutaka Furuse, Hiroyuki Kitagawa
Organizer
20th International Conference on Extending Database Technology (EDBT 2017)
Place of Presentation
Congress Center of the San Servolo Island(イタリア・ベニス)
Year and Date
2017-03-21
Related Report
Int'l Joint Research
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[Presentation] Real-Time Relevance Matching of News and Tweets2015
Author(s)
Sei Onishi, Yuto Yamaguchi, and Hiroyuki Kitagawa
Organizer
23th International Conference on Cooperative Information Systems (CoopIS 2015)
Place of Presentation
Hotel Aldemar Amilia Mare Resort (ギリシャ・ロードス)
Year and Date
2015-10-28
Related Report
Int'l Joint Research
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[Presentation] Parallel Canopy Clustering on GPUs2015
Author(s)
Yusuke Kozawa, Fumitaka Hayashi, Toshiyuki Amagasa, and Hiroyuki Kitagawa
Organizer
26th International Conference on Database and Expert Systems Applications (DEXA 2015)
Place of Presentation
Universitat Politecnica de Valencia (スペイン・バレンシア)
Year and Date
2015-09-01
Related Report
Int'l Joint Research
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[Presentation] GPU Acceleration of Set Similarity Joins2015
Author(s)
Mateus S. H. Cruz, Yusuke Kozawa, Toshiyuki Amagasa, and Hiroyuki Kitagawa
Organizer
26th International Conference on Database and Expert Systems Applications (DEXA 2015)
Place of Presentation
Universitat Politecnica de Valencia (スペイン・バレンシア)
Year and Date
2015-09-01
Related Report
Int'l Joint Research
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