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Task Distribution Scheme based on Service Requirements Considering Opportunistic Fog Computing Nodes in Fog Computing Environments
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포그 컴퓨팅 환경에서 기회적 포그 컴퓨팅 노드들을 고려한 서비스 요구사항 기반 테스크 분배 방법

논문 기본 정보

Type
Academic journal
Author
Yeunwoong Kyung (한신대학교)
Journal
Korea Multimedia Society Journal of Korea Multimedia Society Vol.24 No.1 KCI Accredited Journals
Published
2021.1
Pages
51 - 57 (7page)

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Task Distribution Scheme based on Service Requirements Considering Opportunistic Fog Computing Nodes in Fog Computing Environments
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In this paper, we propose a task distribution scheme in fog computing environment considering opportunistic fog computing nodes. As latency is one of the important performance metric for IoT(Internet of Things) applications, there have been lots of researches on the fog computing system. However, since the load can be concentrated to the specific fog computing nodes due to the spatial and temporal IoT characteristics, the load distribution should be considered to prevent the performance degradation. Therefore, this paper proposes a task distribution scheme which considers the static as well as opportunistic fog computing nodes according to their mobility feature. Especially, based on the task requirements, the proposed scheme supports the delay sensitive task processing at the static fog node and delay in-sensitive tasks by means of the opportunistic fog nodes for the task distribution. Based on the performance evaluation, the proposed scheme shows low service response time compared to the conventional schemes.
#Fog Computing #Opportunistic Fog #Service Requirements

Contents

ABSTRACT
1. 서론
2. 시스템 모델
3. 성능 분석 결과
4. 결론
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References (16)

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H. Hwang and Y. Seo, “A Development of Real-time Energy Usage Data Collection and Analysis System Based on the IoT,” J ournal of Korea Multimedia Society, Vol. 22, No. 3, pp. 366-373, 2019. google schola J. Ahn and B.M. Lee, “IoT Roaming Service for Seamless IoT Service,” J ournal of Korea Multimedia Society, Vol. 23, No. 10, pp. 1258-1269, 2020. google schola S.H. Jung, J.Y. Kim, J. Park, S.M. Jang, and C.B. Sim, “A Study On Power Data Analysis And Rist Situation Prediction Using Smart Plug,” J ournal of Korea Multimedia Society, Vol. 23, No. 7, pp. 870-882, 2020. google schola P. Si, Y. He, H. Yao, R. Yang, and Y. Zhang, “Deve: Offloading Delay-Tolerant Data Traffic to Connected Vehicle Networks,” IEEE Transactions on Vehicular Technology, Vol. 65, No. 6, pp. 3941-3953, 2016. google schola M. Li, P. Si, and Y. Zhang, “Delay-Tolerant Data Traffic to Software-Defined Vehicular Networks with Mobile Edge Computing in Smart City,” IEEE Transactions on Vehicular Technology, Vol. 67, No. 10, pp. 9073-9086, 2018. google schola

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