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 Systems Architec ture 94, 14–23 (2019)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.DC 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
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.