2022 Fiscal Year Final Research Report
A Study on the Configuration of Autonomous Cooperative Edge AI Systems
Project/Area Number |
20K11734
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Review Section |
Basic Section 60040:Computer system-related
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Research Institution | Kyoto Institute of Technology |
Principal Investigator |
NUNOME Atsushi 京都工芸繊維大学, 情報工学・人間科学系, 准教授 (60335320)
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Co-Investigator(Kenkyū-buntansha) |
平田 博章 京都工芸繊維大学, 情報工学・人間科学系, 教授 (90273549)
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Project Period (FY) |
2020-04-01 – 2023-03-31
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Keywords | 計算機システム / エッジコンピューティング / 分散協調処理 / 高性能計算 |
Outline of Final Research Achievements |
Edge AI processing, which is characterized by low latency, is expected to be applied to self-driving vehicles and delivery drones, and is the subject of ongoing research and development. While edge AI processing can produce extremely low latency learning inference results, it has the problem of degrading learning inference accuracy because the processing is performed only on a single device with inferior performance. To solve this problem, we proposed an autonomous cooperative edge AI system in which multiple edge devices operate in a cooperative manner, and developed the basic technology for this system. With the proposed method, we have established one of the fundamental technologies that can bring out high performance as a whole by allowing devices with inferior individual performance to work together in an organic manner.
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Free Research Field |
情報工学
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Academic Significance and Societal Importance of the Research Achievements |
実行時に管理情報を交換しながらネットワーク的に近い位置のデバイスを動的にクラスタリングし、クラスタ間で自律的に処理を移送する制御が十分にシステム全体の潜在性能を引き出せることを示せた。これにより、エッジAI処理環境の新しい構成方式を示すことができた。本研究の成果は、複雑化するシステムを低オーバヘッドで自律協調制御する基盤技術になり得ることから、これまでこうした自律協調制御の適用が難しかったような他の分野に対しても応用が可能である。
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