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
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
DeePCAP introduces a query-driven fidelity framework spanning packet- and flow-level queries to tackle the fidelity disconnection, and proposes a novel dimensionality reduction approach using frequency domain encoding to improve cost-fidelity trade-off.
Fenghao Dong, Yucheng Yin, Yajie Zhou et al.· Conference on Applications,...· 0 citations
TabQueryBench is a query-centric benchmark that uses SQL-shaped analytical queries as structural assessors for synthetic data fidelity, and provides an extensible foundation for query-centric synthetic-data evaluation.
