Development of a data stream management system using special hardware assistance
| Project/Area Number |
26330061
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Computer system
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| Research Institution | The University of Electro-Communications |
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Principal Investigator |
Yoshinaga Tsutomu 電気通信大学, 大学院情報理工学研究科, 教授 (60210738)
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| Co-Investigator(Kenkyū-buntansha) |
吉見 真聡 電気通信大学, 大学院情報理工学研究科, 助教 (00548000)
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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 |
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2016: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2014: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
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| Keywords | データストリーム処理 / リコンフィギャラブル計算 / FPGA / 専用ハードウェア / 結合演算 / 集約演算 / スライディングウィンドウ / ストリームデータ処理 / データストリーム管理システム / 動的再構成 |
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| Outline of Final Research Achievements |
We designed special hardware modules which accelerate aggregation and join operations for stream data process in big data analytics. We also developed a query compiler which generates configuration information for FPGAs from SQL-based query plans as well as distributed system software to utilize a PC cluster with interconnected FPGAs.
We have obtained approximately 9.2 times faster join throughput and 58.8 times performance per energy, compared to conventional software-based join operation, on an FPGA-enhanced 4-node PC cluster when a sliding window size is 4096 tuples per node.
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Report
(4 results)
Research Products
(12 results)
