A risk-aware edge server selection method using latency mean, uncertainty, Normal approximation plus Cantelli bound for SLO violation risk, and hysteresis-based percentile scoring reduces deadline misses by 5 points and switching by 88% in testbed experiments.
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Risk-Aware and Stable Edge Server Selection Under Network Latency SLOs
A risk-aware edge server selection method using latency mean, uncertainty, Normal approximation plus Cantelli bound for SLO violation risk, and hysteresis-based percentile scoring reduces deadline misses by 5 points and switching by 88% in testbed experiments.