Open AccessAnalysis of an Automatic Early Warning System Based on Fog Architecture
Author(s) -
Gang Shi,
Yuechen Yang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2095/1/012046
Subject(s) - cloud computing , computer science , architecture , warning system , terminal (telecommunication) , service (business) , edge computing , real time computing , process (computing) , enhanced data rates for gsm evolution , distributed computing , computer network , operating system , artificial intelligence , telecommunications , art , economy , economics , visual arts
In the process of analysing and processing terminal sensor information, a large number of terminal sensors are needed to collect front-end information. These front-end data collection, analysis and processing require high real-time, and need the support of location aware mobile computing services. Traditional cloud computing architecture is not the best choice for service scenarios with high real-time requirements. The fog computing architecture is to extend cloud computing services to the edge of the sensor network, coupled with appropriate fitness algorithms, can effectively improve the information analysis and early warning response speed of the geological disaster information early warning system.