会议论文详细信息
2019 2nd International Conference on Advanced Materials, Intelligent Manufacturing and Automation
Indoor formaldehyde monitoring system based on fog computing
Chen, Hao^1 ; Li, Sixuan^1 ; Zhang, Jie^1^2 ; Peng, Xiaoxiang^1
College of Information Engineering, Sichuan Agricultural University, Yaan, Sichuan
625014, China^1
Lab of Agricultural Information Engineering, Sichuan Key Laboratory, Yaan
625000, China^2
关键词: Cloud computing architectures;    Computing architecture;    Data transmission delay;    Environment monitoring;    Environmental Monitoring;    Environmental monitoring technologies;    Resource utilizations;    Serverless architecture;   
Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/569/4/042048/pdf
DOI  :  10.1088/1757-899X/569/4/042048
来源: IOP
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【 摘 要 】
With the enhancement of people's awareness of environmental protection, environmental monitoring technology has gradually entered into all aspects of people's life and work. However, due to the high demand of real-time monitoring for data transmission delay, the traditional cloud computing architecture cannot meet the demand, and the fog computing architecture emerges at the historic moment. In this paper, the traditional cloud computing architecture is improved by using the fog computing architecture combined with the function as a service mode of the serverless architecture, and an environment monitoring architecture based on fog computing is proposed. Taking indoor formaldehyde monitoring as an example, the delay of the system is significantly improved, and the resource utilization efficiency is higher and the energy consumption is lower. It solves the deficiency of traditional cloud computing architecture and better meets the demand of real-time environmental monitoring.
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