A MAPE-K-orchestrated Kubernetes edge system for neural-network human-mobility prediction in robotics reports improved service quality over static setups by monitoring response time and power.
Dynamic power-latency tradeoff for mobile edge computation offload- ing in noma-based networks,
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Self-adaptive Multi-Access Edge Architectures: A Robotics Case
A MAPE-K-orchestrated Kubernetes edge system for neural-network human-mobility prediction in robotics reports improved service quality over static setups by monitoring response time and power.