A perceptron model trained on kernel data and run via eBPF in the Linux page cache outperforms FIFO by up to 10% in insertion rate on some workloads with low overhead.
Available: https://arxiv.org/abs/2410.00026
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2026 3verdicts
UNVERDICTED 3representative citing papers
UModel provides an object-centric ontological model for observability data and U-SPL query interface, improving root cause localization precision by 8% on the AIOps 2025 Challenge dataset with production deployment at Alibaba Cloud.
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.
citing papers explorer
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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.