Author

Zaoxing Liu

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Preprint Oct 2026

TurboProm: Low Cost and High Performance Metrics Observability at Scale

Many large enterprise and cloud deployments rely on metrics observability solutions (e.g., Prometheus) to monitor key performance indicators of system health (e.g., CPU, memory, network, app-level statistics). Monitoring and analyzing these metrics presents a significant challenge in terms of cost-latency tradeoffs at...

Milind Srivastava, Ze-Ying Zhu, Pei-Lin Xin et al. · 0 citations

Preprint Aug 2026

ASAP: Reimagining the Data Lifecycle using Application Semantic-Aware Processing

Across many domains (e.g., observability, networking, security), data processing pipelines face what we refer to as the CSP problem: achieving low Cost at large Scale, while maintaining high Performance. In response, we see several efforts to tackle CSP in various stages of the Collect-Transmit-Store-Analyze data lifec...

Milind Srivastava, Zeying Zhu, Yajie Zhou et al. · 0 citations