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학술대회 A Hierarchically Switching Analysis Architecture with Streaming Data from IoT (Internet of Things) Sensors
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저자
강동오, 김지용, 최장호, 박흰돌, 민옥기
발행일
201612
출처
International Conference on Computational Science and Computational Intelligence (CSCI) 2016, pp.1389-1390
DOI
https://dx.doi.org/10.1109/CSCI.2016.0263
협약과제
16MS4600, (ICBMS-1세부) CoT(Cloud of Things) 환경에서 실시간 반응성 향상을 위한 계층적 데이터 스트림 분석 SW 기술 개발, 민옥기
초록
In this paper, we proposed a hierarchical analysis architecture for IoT streaming data by switching computing load between an analysis server and edge devices dynamically in order to reduce the resource usage of the analysis server. The hierarchically distributed switching analysis system can analyze faster and more IoT streaming data with the same computing capability. To show the feasibility of the proposed method, we applied the proposed method to the prediction problem of energy consumption of a simulated BEMS (Building Energy Management System) which is based on real BEMS data.
KSP 제안 키워드
Building energy management system, Edge devices, Hierarchical analysis, Internet of thing(IoT), Resource usage, Streaming Data, analysis system, energy consumption, prediction problem