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Peer-to-Peer Networking and Applications

Erschienen in:

31.03.2020

Resource scheduling for delay-sensitive application in three-layer fog-to-cloud architecture

verfasst von: Zibin Ren, Ting Lu, Xin Wang, Wenjing Guo, Guohua Liu, Shan Chang

Erschienen in: Peer-to-Peer Networking and Applications | Ausgabe 5/2020

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Abstract

In order to solve the problem of resource constraints of mobile devices, fog computing is proposed to improve WAN delay for delay-sensitive and resource-intensive applications. To utilize the resource of fog-to-cloud efficiently and provide good quality-of-service in terms of delay and service failure probability, an improved three-layer fog-to-cloud architecture and schedule fit algorithm are proposed. Three-layer fog-to-cloud architecture can provide computing resource and transmission delay according to the delay sensitivity of applications, which uses computing resource of fog-to-cloud efficiently and improves service delay. Simulation results validate the effectiveness and efficiency of the proposed schedule fit algorithm and show that schedule fit algorithm outperforms the existing algorithms, i.e., the conventional cloud schedule algorithm, random schedule algorithm and first fit algorithm.

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Titel: Resource scheduling for delay-sensitive application in three-layer fog-to-cloud architecture
verfasst von: Zibin Ren
Ting Lu
Xin Wang
Wenjing Guo
Guohua Liu
Shan Chang
Publikationsdatum: 31.03.2020
Verlag: Springer US
Erschienen in: Peer-to-Peer Networking and Applications / Ausgabe 5/2020
Print ISSN: 1936-6442
Elektronische ISSN: 1936-6450
DOI: https://doi.org/10.1007/s12083-020-00900-x

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