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Implementation of Microservice Architectures on SEMAR Extension for Air Quality Monitoring

机译:在空气质量监测中的Semar Extension关于Semar Extension的实施

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Along with the development of industry and the economy causing air damage. However, the current air quality monitoring system not display data in real-time. This paper proposes an implementation of microservice architecture in cloud computing integrated with the air quality monitoring system based on mobile sensors can be a solution to this problem. This system consists of Smart Environment Monitoring and Analytical in Real-time (SEMAR) as a cloud computing service that connected with Vehicle as a Mobile Sensors Network (VaaMSN) for air quality detection. Cloud computing services are divided into several microservices which consist of communication, big data storage, data analysis and real-time visualization with outputs in the form of maps, graphs, and tables. From the experiments conducted can be evaluated that microservice architecture can be implemented on SEMAR with data transmission to cloud computing is said to be real-time with an average delay of 40μs. This system visualizes data in real-time with a specific location so that it can be an alternative method of quality measurement for the government.
机译:随着行业的发展以及经济造成空气损坏。但是,目前的空气质量监测系统无法实时显示数据。本文提出了在集成的云计算中实现了MicroService架构,与基于移动传感器的空气质量监控系统可以是解决这个问题的解决方案。该系统由智能环境监控和实时(Semar)分析,作为云计算服务,该服务与车辆作为移动传感器网络(VAAMSN)连接,用于空气质量检测。云计算服务分为多个微服务,该微服务包括通过地图,图形和表格的形式的输出组成的多个微服务,该传播,大数据存储,数据分析和实时可视化。从进行的实验中可以评估,可以在通过数据传输到云计算的Semar上进行微服务架构,据说是实时的,平均延迟为40μs。该系统实时可视化数据,使其可以是政府的替代质量测量方法。

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