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Implementation of Microservice Architectures on SEMAR Extension for Air Quality Monitoring

机译:SEMAR扩展上的微服务架构在空气质量监测中的实现

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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:随着工业和经济的发展造成空气破坏。但是,当前的空气质量监测系统不能实时显示数据。本文提出了一种基于云计算的微服务架构,并与基于移动传感器的空气质量监测系统集成在一起,可以解决这个问题。该系统由作为云计算服务的实时智能环境监测和分析(SEMAR)组成,并与作为移动传感器网络的车辆(VaaMSN)连接以进行空气质量检测。云计算服务分为几种微服务,包括通信,大数据存储,数据分析和实时可视化,并以地图,图形和表格的形式输出。从所进行的实验中,可以评估出微服务架构可以在SEMAR上实现,并且可以将数据传输到云计算是实时的,平均延迟为40μs。该系统可以在特定位置实时显示数据,因此它可以作为政府质量测量的替代方法。

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