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A control and data plane split approach for partial offloading in mobile fog networks

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A control and data plane split approach for partial offloading in mobile fog networks. / Bozorgchenani, Arash; Tarchi, Daniele; Emanuele Corazza, Giovanni.
2018 IEEE Wireless Communications and Networking Conference (WCNC). IEEE Publishing, 2018.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Bozorgchenani, A, Tarchi, D & Emanuele Corazza, G 2018, A control and data plane split approach for partial offloading in mobile fog networks. in 2018 IEEE Wireless Communications and Networking Conference (WCNC). IEEE Publishing. https://doi.org/10.1109/WCNC.2018.8377170

APA

Bozorgchenani, A., Tarchi, D., & Emanuele Corazza, G. (2018). A control and data plane split approach for partial offloading in mobile fog networks. In 2018 IEEE Wireless Communications and Networking Conference (WCNC) IEEE Publishing. https://doi.org/10.1109/WCNC.2018.8377170

Vancouver

Bozorgchenani A, Tarchi D, Emanuele Corazza G. A control and data plane split approach for partial offloading in mobile fog networks. In 2018 IEEE Wireless Communications and Networking Conference (WCNC). IEEE Publishing. 2018 doi: 10.1109/WCNC.2018.8377170

Author

Bozorgchenani, Arash ; Tarchi, Daniele ; Emanuele Corazza, Giovanni. / A control and data plane split approach for partial offloading in mobile fog networks. 2018 IEEE Wireless Communications and Networking Conference (WCNC). IEEE Publishing, 2018.

Bibtex

@inproceedings{13e9a37ad2bf4e4698b620efabc7d0db,
title = "A control and data plane split approach for partial offloading in mobile fog networks",
abstract = "Fog Computing offers storage and computational capabilities to the edge devices by reducing the traffic at the fronthaul. A fog environment can be seen as composed by two main classes of devices, Fog Nodes (FNs) and Fog-Access Points (F-APs). At the same time, one of the major advances in 5G systems is decoupling the control and the data planes. With this in mind we are here proposing an optimization technique for a mobile environment where the Device to Device (D2D) communications between FNs act as a control plane for aiding the computational offloading traffic operating on the data plane composed by the FN - F-AP links. Interactions in the FNs layer are used for exchanging the information about the status of the F-AP to be exploited for offloading the computation. With this knowledge, we have considered the mobility of FNs and the F-APs' coverage areas to propose a partial offloading approach where the amount of tasks to be offloaded is estimated while the FNs are still within the coverage of their F-APs. Numerical results show that the proposed approaches allow to achieve performance closer to the ideal case, by reducing the data loss and the delay.",
author = "Arash Bozorgchenani and Daniele Tarchi and {Emanuele Corazza}, Giovanni",
year = "2018",
month = jun,
day = "11",
doi = "10.1109/WCNC.2018.8377170",
language = "English",
isbn = "9781538617359",
booktitle = "2018 IEEE Wireless Communications and Networking Conference (WCNC)",
publisher = "IEEE Publishing",

}

RIS

TY - GEN

T1 - A control and data plane split approach for partial offloading in mobile fog networks

AU - Bozorgchenani, Arash

AU - Tarchi, Daniele

AU - Emanuele Corazza, Giovanni

PY - 2018/6/11

Y1 - 2018/6/11

N2 - Fog Computing offers storage and computational capabilities to the edge devices by reducing the traffic at the fronthaul. A fog environment can be seen as composed by two main classes of devices, Fog Nodes (FNs) and Fog-Access Points (F-APs). At the same time, one of the major advances in 5G systems is decoupling the control and the data planes. With this in mind we are here proposing an optimization technique for a mobile environment where the Device to Device (D2D) communications between FNs act as a control plane for aiding the computational offloading traffic operating on the data plane composed by the FN - F-AP links. Interactions in the FNs layer are used for exchanging the information about the status of the F-AP to be exploited for offloading the computation. With this knowledge, we have considered the mobility of FNs and the F-APs' coverage areas to propose a partial offloading approach where the amount of tasks to be offloaded is estimated while the FNs are still within the coverage of their F-APs. Numerical results show that the proposed approaches allow to achieve performance closer to the ideal case, by reducing the data loss and the delay.

AB - Fog Computing offers storage and computational capabilities to the edge devices by reducing the traffic at the fronthaul. A fog environment can be seen as composed by two main classes of devices, Fog Nodes (FNs) and Fog-Access Points (F-APs). At the same time, one of the major advances in 5G systems is decoupling the control and the data planes. With this in mind we are here proposing an optimization technique for a mobile environment where the Device to Device (D2D) communications between FNs act as a control plane for aiding the computational offloading traffic operating on the data plane composed by the FN - F-AP links. Interactions in the FNs layer are used for exchanging the information about the status of the F-AP to be exploited for offloading the computation. With this knowledge, we have considered the mobility of FNs and the F-APs' coverage areas to propose a partial offloading approach where the amount of tasks to be offloaded is estimated while the FNs are still within the coverage of their F-APs. Numerical results show that the proposed approaches allow to achieve performance closer to the ideal case, by reducing the data loss and the delay.

U2 - 10.1109/WCNC.2018.8377170

DO - 10.1109/WCNC.2018.8377170

M3 - Conference contribution/Paper

SN - 9781538617359

BT - 2018 IEEE Wireless Communications and Networking Conference (WCNC)

PB - IEEE Publishing

ER -