Service Management in Fog and Multi-Access Edge Computing Environments

Disruptive applications for mobile devices, such as Internet of Things, Connected and Autonomous Vehicles, Immersive Media, and others, have requirements that cannot be met by the current Cloud Computing paradigm. These unmet requirements bring the necessity to deploy geographically distributed computing architectures, such as Fog and Mobile Edge Computing. However, bringing computing close to users has its costs. The devices and servers connected to the edge network must be integrated to make more consistent use of their resources and continuously deliver the expected quality of service. The management of these devices and servers adds significant complexity to manage services running at the edge of the network. A plethora of studies arises in the literature discussing how to implement flexible and scalable network functions to manage services and satisfy the requirements of these emerging applications. The present thesis proposes a series of protocols and algorithms to handle different aspects of mobility at the edge of the network and assembles them in a solution for mobility-aware service orchestration that uses Information-Centric Networking and runs on top of Software-Defined Networking.

Related Literature:

[1] Rodrigues, D. O., Braun, T., Maia, G., and Villas, L. (2021). Towards SDN-enabled RACH-less Make-before-break Handover in C-V2X Scenarios. 2021 17th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), 337–344. https://doi.org/10.1109/WiMob52687.2021.9606283

[2] Rodrigues, D. O., Braun, T., Maia, G., and Villas, L. (2022). Mobility-aware Software-Defined Service-Centric Networking. 2022 International Conference on Computer Communications and Networks (ICCCN), 1–10. https://doi.org/10.1109/ICCCN54977.2022.9868869

[3] Rodrigues, D. O., Braun, T., Maia, G., and Villas, L. (2023). Mobility-aware Latency-constrained Data Placement in SDN-enabled Edge Networks. Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2023.

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