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On-demand Service Deployment Strategies for Fog-as-a-Service Scenarios

Research output: Contribution to Journal/MagazineLetterpeer-review

E-pub ahead of print

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On-demand Service Deployment Strategies for Fog-as-a-Service Scenarios. / Bozorgchenani, Arash; Tarchi, Daniele; Cerroni, Walter.
In: IEEE Communications Letters, Vol. 25, No. 5, 29.01.2021, p. 1500-1504.

Research output: Contribution to Journal/MagazineLetterpeer-review

Harvard

Bozorgchenani, A, Tarchi, D & Cerroni, W 2021, 'On-demand Service Deployment Strategies for Fog-as-a-Service Scenarios', IEEE Communications Letters, vol. 25, no. 5, pp. 1500-1504. https://doi.org/10.1109/LCOMM.2021.3055535

APA

Bozorgchenani, A., Tarchi, D., & Cerroni, W. (2021). On-demand Service Deployment Strategies for Fog-as-a-Service Scenarios. IEEE Communications Letters, 25(5), 1500-1504. Advance online publication. https://doi.org/10.1109/LCOMM.2021.3055535

Vancouver

Bozorgchenani A, Tarchi D, Cerroni W. On-demand Service Deployment Strategies for Fog-as-a-Service Scenarios. IEEE Communications Letters. 2021 Jan 29;25(5):1500-1504. Epub 2021 Jan 29. doi: 10.1109/LCOMM.2021.3055535

Author

Bozorgchenani, Arash ; Tarchi, Daniele ; Cerroni, Walter. / On-demand Service Deployment Strategies for Fog-as-a-Service Scenarios. In: IEEE Communications Letters. 2021 ; Vol. 25, No. 5. pp. 1500-1504.

Bibtex

@article{61b03f097a8d4ac4901628a5f8091e85,
title = "On-demand Service Deployment Strategies for Fog-as-a-Service Scenarios",
abstract = "Service deployment at the network edge is a promising area that has been studied recently in the literature. In this work we have investigated a Fog-as-a-Service scenario, where multiple Server Fog Nodes (SFNs) can serve multiple Client FogNodes (CFNs) by exploiting different service deployment models, i.e., SaaS, PaaS, and IaaS, in a flexible way. The system has been modeled as a Size-Constrained Weighted Set Cover Problem aiming at maximizing the amount of satisfied CFNs exploiting a heterogeneous service deployment architecture, while minimizing the service completion time in a computation offloading scenario. In the simulation results section, we analyze the performance of different methods in terms of percentage of CFNs{\textquoteright} offloading requests satisfaction and offloading delay.",
keywords = "Fog Computing, Service Deployment, Computation offloading, Optimization, Weighted Set Cover Problem",
author = "Arash Bozorgchenani and Daniele Tarchi and Walter Cerroni",
note = "{\textcopyright}2021 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. ",
year = "2021",
month = jan,
day = "29",
doi = "10.1109/LCOMM.2021.3055535",
language = "English",
volume = "25",
pages = "1500--1504",
journal = "IEEE Communications Letters",
issn = "1089-7798",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "5",

}

RIS

TY - JOUR

T1 - On-demand Service Deployment Strategies for Fog-as-a-Service Scenarios

AU - Bozorgchenani, Arash

AU - Tarchi, Daniele

AU - Cerroni, Walter

N1 - ©2021 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

PY - 2021/1/29

Y1 - 2021/1/29

N2 - Service deployment at the network edge is a promising area that has been studied recently in the literature. In this work we have investigated a Fog-as-a-Service scenario, where multiple Server Fog Nodes (SFNs) can serve multiple Client FogNodes (CFNs) by exploiting different service deployment models, i.e., SaaS, PaaS, and IaaS, in a flexible way. The system has been modeled as a Size-Constrained Weighted Set Cover Problem aiming at maximizing the amount of satisfied CFNs exploiting a heterogeneous service deployment architecture, while minimizing the service completion time in a computation offloading scenario. In the simulation results section, we analyze the performance of different methods in terms of percentage of CFNs’ offloading requests satisfaction and offloading delay.

AB - Service deployment at the network edge is a promising area that has been studied recently in the literature. In this work we have investigated a Fog-as-a-Service scenario, where multiple Server Fog Nodes (SFNs) can serve multiple Client FogNodes (CFNs) by exploiting different service deployment models, i.e., SaaS, PaaS, and IaaS, in a flexible way. The system has been modeled as a Size-Constrained Weighted Set Cover Problem aiming at maximizing the amount of satisfied CFNs exploiting a heterogeneous service deployment architecture, while minimizing the service completion time in a computation offloading scenario. In the simulation results section, we analyze the performance of different methods in terms of percentage of CFNs’ offloading requests satisfaction and offloading delay.

KW - Fog Computing

KW - Service Deployment

KW - Computation offloading

KW - Optimization

KW - Weighted Set Cover Problem

U2 - 10.1109/LCOMM.2021.3055535

DO - 10.1109/LCOMM.2021.3055535

M3 - Letter

VL - 25

SP - 1500

EP - 1504

JO - IEEE Communications Letters

JF - IEEE Communications Letters

SN - 1089-7798

IS - 5

ER -