| Project/Area Number |
17H06099
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| Research Category |
Grant-in-Aid for Scientific Research (S)
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| Allocation Type | Single-year Grants |
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| Research Field |
Software
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| Research Institution | National Institute of Informatics |
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Principal Investigator |
Hu Zhenjiang 国立情報学研究所, 大学共同利用機関等の部局等, 特任教授 (50292769)
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| Co-Investigator(Kenkyū-buntansha) |
吉川 正俊 京都大学, 情報学研究科, 教授 (30182736)
鬼塚 真 大阪大学, 大学院情報科学研究科, 教授 (60726165)
石原 靖哲 南山大学, 理工学部, 教授 (00263434)
日高 宗一郎 法政大学, 情報科学部, 教授 (70321578)
加藤 弘之 国立情報学研究所, アーキテクチャ科学研究系, 助教 (10321580)
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| Project Period (FY) |
2017-05-31 – 2022-03-31
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| Project Status |
Completed (Fiscal Year 2022)
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| Budget Amount *help |
¥173,550,000 (Direct Cost: ¥133,500,000、Indirect Cost: ¥40,050,000)
Fiscal Year 2021: ¥29,510,000 (Direct Cost: ¥22,700,000、Indirect Cost: ¥6,810,000)
Fiscal Year 2020: ¥28,340,000 (Direct Cost: ¥21,800,000、Indirect Cost: ¥6,540,000)
Fiscal Year 2019: ¥31,980,000 (Direct Cost: ¥24,600,000、Indirect Cost: ¥7,380,000)
Fiscal Year 2018: ¥36,920,000 (Direct Cost: ¥28,400,000、Indirect Cost: ¥8,520,000)
Fiscal Year 2017: ¥46,800,000 (Direct Cost: ¥36,000,000、Indirect Cost: ¥10,800,000)
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| Keywords | 双方向変換 / 相互運用 / 自律分散データ / プログラミング言語 / ソフトウエア / 双方向変換相互運用 / プログラミング |
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| Outline of Final Research Achievements |
Big data processing is widely employed in all aspects of our lives. Usually, parts or copies of a huge amount of data are stored in separate locations, and is infeasible to be collected and processed in a centralized manner. We therefore need new software foundations based on which big data can be efficiently analyzed and shared in a distributed way. A highly relevant research area is bidirectional transformations, which provide a reliable mechanism for data synchronization. Despite the potential in solving practical synchronization problems including data interoperability, bidirectional technologies are not widely employed yet, and most applications of bidirectional transformations remain only proof of concept.
In this project, we have further developed bidirectional transformation technology in the direction of "high reliability, large scale, and high efficiency" and established software foundation for integration, sharing, and interoperability of autonomous decentralized big data.
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| Academic Significance and Societal Importance of the Research Achievements |
本研究は自律分散データの効率的な分析、共有、相互運用を行う新しいソフトウェア基盤技術を確立した。これより、クラウド環境等に置かれた無数のデータから新たな知見を得るというデータの一元管理という考え方を逆転し、データを集中管理せず「集めない」ことで、秘匿性の高いデータをクラウド上で管理することが許されない一般企業の事情にも対応でき、分散した状態のままでデータを活用するとともに分散データ間の整合性が保証できる。
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| Assessment Rating |
Verification Result (Rating)
A
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Assessment Rating |
Result (Rating)
A: Progress in the research is steadily towards the initial goal. Expected research results are expected.
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