Mt-KaRRi is a highly scalable ride-pooling dispatcher that achieves millisecond-scale response times for millions of requests, supporting unprecedented-scale urban simulations.
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Go outperforms Python and Node.js in throughput and CPU efficiency on OpenFaaS; K3s and Kubeadm deliver higher throughput and lower latency than MicroK8s or K0s under concurrent load.
citing papers explorer
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Advancing Dynamic Ride-Pooling Simulation -- A Highly Scalable Dispatcher
Mt-KaRRi is a highly scalable ride-pooling dispatcher that achieves millisecond-scale response times for millions of requests, supporting unprecedented-scale urban simulations.
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Optimizing OpenFaaS on Kubernetes: Comparative Analysis of Language Runtimes and Cluster Distributions
Go outperforms Python and Node.js in throughput and CPU efficiency on OpenFaaS; K3s and Kubeadm deliver higher throughput and lower latency than MicroK8s or K0s under concurrent load.