Toward Proactive Service Relocation for UAVs in MEC

Oussama Bekkouche; Somayeh Kianpisheh; Tarik Taleb

doi:10.1109/GLOBECOM46510.2021.9685066

Toward Proactive Service Relocation for UAVs in MEC

Oussama Bekkouche, Somayeh Kianpisheh, Tarik Taleb

Mobile Network Softwarization and Service Customization

Centre for Wireless Communications

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

1 Citation (Scopus)

Abstract

Multi-Access Edge Computing (MEC) is considered as one of the key enablers of Unmanned Aerial Vehicles (UAVs) use cases. However, the envisioned MEC deployments introduce new challenges related to the management of the mobility of services across the distributed MEC hosts, following the UAVs movements and possible handovers to ensure sustainable Quality-of-Service (QoS). A major challenge for MEC service mobility is the decision-making on where and when to relocate services. In this paper, we motivate the use of the predefined flight plans of UAVs for devising proactive relocation strategies that can deal efficiently with realistic asynchronous relocation processes. Moreover, we formulate the Proactive Service Relocation for UAV (PSRU) problem using linear programming, and we validate the gains introduced by the proactive relocation strategy and the use of the predefined flight plans of UAVs.

Original language	English
Title of host publication	2021 IEEE Global Communications Conference, GLOBECOM 2021 - Proceedings
Publisher	IEEE
Number of pages	7
ISBN (Electronic)	9781728181042
DOIs	https://doi.org/10.1109/GLOBECOM46510.2021.9685066
Publication status	Published - 2021
MoE publication type	A4 Conference publication
Event	IEEE Global Communications Conference - Madrid, Spain Duration: 7 Dec 2021 → 11 Dec 2021 https://globecom2021.ieee-globecom.org/

Publication series

Name	2021 IEEE Global Communications Conference, GLOBECOM 2021 - Proceedings

Conference

Conference	IEEE Global Communications Conference
Abbreviated title	GLOBECOM
Country/Territory	Spain
City	Madrid
Period	07/12/2021 → 11/12/2021
Internet address	https://globecom2021.ieee-globecom.org/

Keywords

5G
Beyond 5G
Linear Programming
MEC
Mobile Networks
Service Migration
Unmanned Aerial Vehicles (UAVs)

Access to Document

10.1109/GLOBECOM46510.2021.9685066

Cite this

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title = "Toward Proactive Service Relocation for UAVs in MEC",

abstract = "Multi-Access Edge Computing (MEC) is considered as one of the key enablers of Unmanned Aerial Vehicles (UAVs) use cases. However, the envisioned MEC deployments introduce new challenges related to the management of the mobility of services across the distributed MEC hosts, following the UAVs movements and possible handovers to ensure sustainable Quality-of-Service (QoS). A major challenge for MEC service mobility is the decision-making on where and when to relocate services. In this paper, we motivate the use of the predefined flight plans of UAVs for devising proactive relocation strategies that can deal efficiently with realistic asynchronous relocation processes. Moreover, we formulate the Proactive Service Relocation for UAV (PSRU) problem using linear programming, and we validate the gains introduced by the proactive relocation strategy and the use of the predefined flight plans of UAVs.",

keywords = "5G, Beyond 5G, Linear Programming, MEC, Mobile Networks, Service Migration, Unmanned Aerial Vehicles (UAVs)",

author = "Oussama Bekkouche and Somayeh Kianpisheh and Tarik Taleb",

note = "Funding Information: ACKNOWLEDGMENT This work was partially supported by the European Unions Horizon 2020 Research and Innovation Program through the 5G!Drones Project under Grant No. 857031. It was also supported in part by the Academy of Finland 6Genesis project under Grant No. 318927. REFERENCES Publisher Copyright: {\textcopyright} 2021 IEEE. | openaire: EC/H2020/857031/EU//5G!Drones; IEEE Global Communications Conference, GLOBECOM ; Conference date: 07-12-2021 Through 11-12-2021",

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language = "English",

series = "2021 IEEE Global Communications Conference, GLOBECOM 2021 - Proceedings",

publisher = "IEEE",

booktitle = "2021 IEEE Global Communications Conference, GLOBECOM 2021 - Proceedings",

address = "United States",

url = "https://globecom2021.ieee-globecom.org/",

}

Toward Proactive Service Relocation for UAVs in MEC. / Bekkouche, Oussama; Kianpisheh, Somayeh; Taleb, Tarik.
2021 IEEE Global Communications Conference, GLOBECOM 2021 - Proceedings. IEEE, 2021. (2021 IEEE Global Communications Conference, GLOBECOM 2021 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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T1 - Toward Proactive Service Relocation for UAVs in MEC

AU - Bekkouche, Oussama

AU - Kianpisheh, Somayeh

AU - Taleb, Tarik

N1 - Funding Information: ACKNOWLEDGMENT This work was partially supported by the European Unions Horizon 2020 Research and Innovation Program through the 5G!Drones Project under Grant No. 857031. It was also supported in part by the Academy of Finland 6Genesis project under Grant No. 318927. REFERENCES Publisher Copyright: © 2021 IEEE. | openaire: EC/H2020/857031/EU//5G!Drones

PY - 2021

Y1 - 2021

N2 - Multi-Access Edge Computing (MEC) is considered as one of the key enablers of Unmanned Aerial Vehicles (UAVs) use cases. However, the envisioned MEC deployments introduce new challenges related to the management of the mobility of services across the distributed MEC hosts, following the UAVs movements and possible handovers to ensure sustainable Quality-of-Service (QoS). A major challenge for MEC service mobility is the decision-making on where and when to relocate services. In this paper, we motivate the use of the predefined flight plans of UAVs for devising proactive relocation strategies that can deal efficiently with realistic asynchronous relocation processes. Moreover, we formulate the Proactive Service Relocation for UAV (PSRU) problem using linear programming, and we validate the gains introduced by the proactive relocation strategy and the use of the predefined flight plans of UAVs.

AB - Multi-Access Edge Computing (MEC) is considered as one of the key enablers of Unmanned Aerial Vehicles (UAVs) use cases. However, the envisioned MEC deployments introduce new challenges related to the management of the mobility of services across the distributed MEC hosts, following the UAVs movements and possible handovers to ensure sustainable Quality-of-Service (QoS). A major challenge for MEC service mobility is the decision-making on where and when to relocate services. In this paper, we motivate the use of the predefined flight plans of UAVs for devising proactive relocation strategies that can deal efficiently with realistic asynchronous relocation processes. Moreover, we formulate the Proactive Service Relocation for UAV (PSRU) problem using linear programming, and we validate the gains introduced by the proactive relocation strategy and the use of the predefined flight plans of UAVs.

KW - 5G

KW - Beyond 5G

KW - Linear Programming

KW - MEC

KW - Mobile Networks

KW - Service Migration

KW - Unmanned Aerial Vehicles (UAVs)

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M3 - Conference article in proceedings

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PB - IEEE

T2 - IEEE Global Communications Conference

Y2 - 7 December 2021 through 11 December 2021

ER -

Toward Proactive Service Relocation for UAVs in MEC

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

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5G!Drones: 5G for Drone-based Vertical Applications

Cite this

Toward Proactive Service Relocation for UAVs in MEC

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Projects

5G!Drones: 5G for Drone-based Vertical Applications

Cite this