Perfect Stream Fusion for Information Flow Processing

• Project/Area Number: 21K11821
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 60050:Software-related
• Research Institution: Tohoku University
• Principal Investigator: Kiselyov Oleg 東北大学, 情報科学研究科, 助教 (50754602)
• Project Period (FY): 2021-04-01 – 2025-03-31
• Project Status: Granted (Fiscal Year 2021)
• Budget Amount: ¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000); Fiscal Year 2024: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000); Fiscal Year 2023: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000); Fiscal Year 2022: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000); Fiscal Year 2021: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
• Keywords: Stream processing / Info flow processing / sensor fusion / complex event processing / DSL

Outline of Research at the Start

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.