Mobility Aware Edge Computing Segmentation Towards Localized Orchestration
Sam Aleyadeh, Abdallah Moubayed, and Abdallah Shami

TL;DR
This paper proposes a mobility-aware segmentation technique for edge computing that improves orchestration efficiency and reduces delay by clustering edge devices based on mobility and latency mapping.
Contribution
It introduces a novel segmentation method combining lax and mobility-based clustering to enhance edge orchestration in highly mobile environments.
Findings
Reduced orchestration delay in simulations
Decreased mobility-related failures
Improved efficiency of edge resource management
Abstract
The current trend in end-user devices' advancements in computing and communication capabilities makes edge computing an attractive solution to pave the way for the coveted ultra-low latency services. The success of the edge computing networking paradigm depends on the proper orchestration of the edge servers. Several Edge applications and services are intolerant to latency, especially in 5G and beyond networks, such as intelligent video surveillance, E-health, Internet of Vehicles, and augmented reality applications. The edge devices underwent rapid growth in both capabilities and size to cope with the service demands. Orchestrating it on the cloud was a prominent trend during the past decade. However, the increasing number of edge devices poses a significant burden on the orchestration delay. In addition to the growth in edge devices, the high mobility of users renders traditional…
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