AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This paper is included in the Proceedings of the 24th USENIX Conference on File and Storage Technologies.
HARE introduces a holistic allocation model that captures the demand correlation between cache size and other resources, and uses a novel two-phase harvest/redistribute method to optimize resource allocation across tenants, maximizing the throughput of each while maintaining fairness.
Large-Scale Plasma Proteomics Enhances Prediction of Liver-Related Events Among Individuals With Prediabetes and Type 2 Diabetes: A Prospective Cohort Study in the UK Biobank.
The protein risk score demonstrated superior performance compared with the FIB-4 index and the polygenic risk score in predicting incident LREs among individuals with prediabetes and T2D, though external validation in multi-ethnic cohorts is warranted.