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.
Proceedings of the Korea Information Processing Society Conference (한국정보처리학회:학술대회논문집)
- 2021.11a
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- Pages.128-130
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- 2021
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- 2005-0011(pISSN)
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- 2671-7298(eISSN)
DOI QR Code
Dynamic Fog-Cloud Task Allocation Strategy for Smart City Applications
- Salim, Mikail Mohammed (Department of Computer Science and Engineering, Seoul National University of Science and Technology) ;
- Kang, Jungho (Department of Information Protection, Baewha Women's University) ;
- Park, Jong Hyuk (Department of Computer Science and Engineering, Seoul National University of Science and Technology)
- Published : 2021.11.04
Abstract
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.
Keywords