Qurator jointly optimizes queue time and fidelity for hybrid quantum-classical workflows across providers using quantum-aware DAG scheduling and a unified logarithmic fidelity score, achieving 30-75% wait reduction at high load with bounded accuracy cost.
What bugs live in the cloud? A study of 3000+ issues in cloud systems
3 Pith papers cite this work. Polarity classification is still indexing.
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netstacklat is a new low-overhead monitoring tool that records host network stack latency from early kernel processing to application delivery and was tested on 144 HTTP workload variants plus a Cloudflare deployment.
PRAXIS combines LLM-driven structured traversal of service dependency graphs and hammock-block program dependence graphs to improve root-cause analysis accuracy by up to 6.3x while cutting token consumption by 5.3x on 30 real-world cloud incidents.
citing papers explorer
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Qurator: Scheduling Hybrid Quantum-Classical Workflows Across Heterogeneous Cloud Providers
Qurator jointly optimizes queue time and fidelity for hybrid quantum-classical workflows across providers using quantum-aware DAG scheduling and a unified logarithmic fidelity score, achieving 30-75% wait reduction at high load with bounded accuracy cost.
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Waiting at the front door: Continuous monitoring of latency in the host network stack
netstacklat is a new low-overhead monitoring tool that records host network stack latency from early kernel processing to application delivery and was tested on 144 HTTP workload variants plus a Cloudflare deployment.
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PRAXIS: Integrating Program Analysis with Observability for Root-Cause Analysis
PRAXIS combines LLM-driven structured traversal of service dependency graphs and hammock-block program dependence graphs to improve root-cause analysis accuracy by up to 6.3x while cutting token consumption by 5.3x on 30 real-world cloud incidents.