Towards the Future of Edge Computing in the Sky: Outlook and Future Directions

De Sousa Pacheco, Lucas; Oliveira, Helder; Rosário, Denis; Zhao, Zhongliang; Cerqueira, Eduardo; Braun, Torsten; Mendes, Paulo (2021). Towards the Future of Edge Computing in the Sky: Outlook and Future Directions. International Conference on Distributed Computing in Sensor Systems, pp. 220-227. IEEE 10.1109/DCOSS52077.2021.00045

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In modern 5G and Beyond (B5G) networks, the number of users and devices consuming highly-demanding services in terms of latency and throughput. Due to their high dynamicity and fine-grainess, such services must be supported by a joint management and integration effort between technologies such as Mobile Edge Computing (MEC), Unmanned Aerial Vehicles (UAVs), and novel radio and energy transfer techniques. The notion of Flying Edge Computing (FEC) arises as a prominent solution to provide a deeper level of integration and capabilities to UAV networks in collaboration with traditional edge computing and B5G infrastructure. FEC constitutes a highly elastic computation layer in modern networks, which can quickly adapt to surges in demand. This paper dives into FEC’s main opportunities and motivations in modern scenarios and presents some of the important design aspects of FEC. Experimental results show that the coupling of traditional MEC with FEC can deliver significantly better Quality of Service (QoS), improve service availability, and user satisfaction. Furthermore, FEC can adapt to user mobility patterns more efficiently, delivering contents and services.

Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Institute of Computer Science (INF) > Communication and Distributed Systems (CDS)
08 Faculty of Science > Institute of Computer Science (INF)

UniBE Contributor:

De Sousa Pacheco, Lucas, Lima do Rosario, Denis, Zhao, Zhongliang, Cerqueira, Eduardo, Braun, Torsten

Subjects:

000 Computer science, knowledge & systems

ISSN:

2325-2944

Publisher:

IEEE

Funders:

[UNSPECIFIED] QNPQ Brazil ; [UNSPECIFIED] Beihang University

Language:

English

Submitter:

Dimitrios Xenakis

Date Deposited:

01 Feb 2022 14:14

Last Modified:

02 Mar 2023 23:35

Publisher DOI:

10.1109/DCOSS52077.2021.00045

Uncontrolled Keywords:

B5G; Edge Computing; FEC; UAV

BORIS DOI:

10.48350/164321

URI:

https://boris.unibe.ch/id/eprint/164321

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