3 papers
cs.DB2026
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…
cs.DB2026
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…
cs.CR2025
SPDZCoder: Combining Expert Knowledge with LLMs for Generating Privacy-Computing Code
Xiaoning Dong, Peilin Xin, Jia Li +1
Privacy computing receives increasing attention but writing privacy computing code remains challenging for developers due to limited library functions, necessitating function imple…