Current Result Document :
| 한글제목(Korean Title) |
Dynamic Fog-Cloud Task Allocation Strategy for Smart City Applications |
| 영문제목(English Title) |
Dynamic Fog-Cloud Task Allocation Strategy for Smart City Applications |
| 저자(Author) |
Mikail Mohammed Salim
Jungho Kang
JongHyuk Park
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| 원문수록처(Citation) |
VOL 28 NO. 2 PP. 0128 ~ 0130 (2021. 11) |
한글내용
(Korean Abstract) |
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영문내용
(English 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. |
| 키워드(Keyword) |
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| 파일첨부 |
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