研究課題/領域番号 |
21K11821
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研究種目 |
基盤研究(C)
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配分区分 | 基金 |
応募区分 | 一般 |
審査区分 |
小区分60050:ソフトウェア関連
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研究機関 | 東北大学 |
研究代表者 |
Kiselyov Oleg 東北大学, 情報科学研究科, 助教 (50754602)
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研究期間 (年度) |
2021-04-01 – 2025-03-31
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研究課題ステータス |
交付 (2023年度)
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配分額 *注記 |
4,160千円 (直接経費: 3,200千円、間接経費: 960千円)
2024年度: 650千円 (直接経費: 500千円、間接経費: 150千円)
2023年度: 1,170千円 (直接経費: 900千円、間接経費: 270千円)
2022年度: 1,170千円 (直接経費: 900千円、間接経費: 270千円)
2021年度: 1,170千円 (直接経費: 900千円、間接経費: 270千円)
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キーワード | stream processing / DSL / info flow processing / software-defined radio / sensor fusion / complex event processing / Stream processing / Info flow processing |
研究開始時の研究の概要 |
Stream processing is transforming, correlating or reducing possibly unbounded sequences of data, in small space. The widening deployment of sensors (Internet-of-Things, IoT) and the need to analyze and react to the collected data bring stream processing into ordinary life: environment monitoring, traffic management, etc.
Earlier we have developed an approach for stream processing of vast but already available data. It is easy to use and it delivers the highest performance. The goal is to develop the similar approach for sensor data, to correlate and react to continuously-flowing events.
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研究実績の概要 |
We (with the Master student, who has just successfully graduated) have completed a significant milestone: demonstrating that our stream processing approach scales to the significant application: Software-Defined Radio, specifically, FM Radio reception in software.
The approach is implemented as the freely available (open source) library called Strymonas (https://strymonas.github.io). We have released version 2.1 of the library.
We have demonstrated that Strymonas offers portable high performance, well enough for the real-time FM Radio reception. It is on par with (or, on Raspberry Pi Zero, outstripping) the state-of-the-art GNU Radio, while providing correctness guarantees (that is, ensuring the absence of classes of bugs). The application is described in a paper presented at the international workshop and published in the ACM Digital Library. The paper received the Best Paper Award.
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現在までの達成度 (区分) |
現在までの達成度 (区分)
1: 当初の計画以上に進展している
理由
The paper presenting our results at the international (ACM SIGPLAN) workshop PEPM 2024 has received the Best Paper award.
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今後の研究の推進方策 |
In the last year of the grant I plan to concentrate on explaining the theory underlying strymonas in a comprehensive journal paper. That is, the paper is to explain why strymonas has high performance and why it is correct.
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