A suitability-score-based resource selection algorithm with a resource reservation mechanism improves simulated task completion rates for autonomous driving workloads in heterogeneous edge computing.
Journal of Supercomputing 78(1), 1093–1116 (2022)
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SARS: A Resource Selection Algorithm for Autonomous Driving Tasks in Heterogeneous Mobile Edge Computing
A suitability-score-based resource selection algorithm with a resource reservation mechanism improves simulated task completion rates for autonomous driving workloads in heterogeneous edge computing.