2 papers
cs.LG2025
Unsupervised Anomaly Detection in Multivariate Time Series across Heterogeneous Domains
Vincent Jacob, Yanlei Diao
The widespread adoption of digital services, along with the scale and complexity at which they operate, has made incidents in IT operations increasingly more likely, diverse, and i…
cs.DC2024
A Spark Optimizer for Adaptive, Fine-Grained Parameter Tuning
Chenghao Lyu, Qi Fan, Philippe Guyard +1
As Spark becomes a common big data analytics platform, its growing complexity makes automatic tuning of numerous parameters critical for performance. Our work on Spark parameter tu…