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Title	Mean Field Analysis Of Serverless Edge Computing For Smart Vehicle Applications
ID_Doc	36543
Authors	Yao Y.; He R.
Year	2024
Published	2024 4th International Conference on Electronic Information Engineering and Computer Communication, EIECC 2024
DOI	http://dx.doi.org/10.1109/EIECC64539.2024.10929468
Abstract	Smart cities and vehicles generate numerous time sensitive tasks, making edge computing a key solution for reducing latency. However, using serverless models at the edge faces challenges like dynamic city traffic and resource constraints. This study analyzes serverless edge computing for smart vehicles through modeling and experiments. we develop a mean field model captures steady-state system behavior under stochastic job arrivals, enabling efficient analysis of metrics like mean sojourn time and service degradation probability. Through experiments and simulations, we demonstrate the feasibility of serverless edge servers for low-latency offloading, providing insights for optimizing these systems in urban environments. © 2024 IEEE.
Author Keywords	Edge Computing; Mean field Model; Performance Analysis; Serverless

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