40 citations · 92 across the 9 of their papers we have counts for
3 papers · 1 filter
TurboProm: Low Cost and High Performance Metrics Observability at Scale
Milind Srivastava, Zeying Zhu, Peilin Xin +3
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, ne…
ASAP: Reimagining the Data Lifecycle using Application Semantic-Aware Processing
Milind Srivastava, Zeying Zhu, Yajie Zhou +5
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 mainta…
Enabling Efficient and General Subpopulation Analytics in Multidimensional Data Streams
Antonis Manousis, Zhuo Cheng, Ran Ben Basat +2
Today's large-scale services (e.g., video streaming platforms, data centers, sensor grids) need diverse real-time summary statistics across multiple subpopulations of multidimensio…