A Microservices Based Architecture for Implementing and Automating ETL Data Pipelines for Mobile Crowdsensing Applications


연구 분야: Databases



학회: 2021 IEEE International Conference on Big Data (Big Data)


초록

Mobile crowdsensing (MCS) has emerged as a new revolutionary paradigm to collect large-scale data by the crowd. However, there is a lack of a holistic system than can provide an integrated design for this large volumes data coming from different sensors, and afford analytics capabilities. This paper provides an envision of a micro-service based architecture for implementing and automating ETL data management pipelines in MCS.


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Hafsa El Hafyani

David Lab Uvsq - Université Paris-Saclay Versailles France

France
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Mohammad Abboud

David Lab Uvsq - Université Paris-Saclay Versailles France

France
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Yehia Taher

David Lab Uvsq - Université Paris-Saclay Versailles France

France

📄 논문 정보

발행 연도 2021년
인용수 3
출판 국가 France
사이트 IEEE
좋아요 수 0

연관 논문 목록 (54건)