Acknowledgement
This work was supported by the Survey and analysis of quantum information technology trends and regional strategy establishment research services project funded by the Gangwon Technopark.
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Smart cities collect data from thousands of IoT-based sensor devices for intelligent application-based services. Centralized cloud servers support application tasks with higher computation resources but introduce network latency. Fog layer-based data centers bring data processing at the edge, but fewer available computation resources and poor task allocation strategy prevent real-time data analysis. In this paper, tasks generated from devices are distributed as high resource and low resource intensity tasks. The novelty of this research lies in deploying a virtual node assigned to each cluster of IoT sensor machines serving a joint application. The node allocates tasks based on the task intensity to either cloud-computing or fog computing resources. The proposed Task Allocation Strategy provides seamless allocation of jobs based on process requirements.
This work was supported by the Survey and analysis of quantum information technology trends and regional strategy establishment research services project funded by the Gangwon Technopark.