3 papers
cs.DC2024
A Light-weight and Unsupervised Method for Near Real-time Behavioral Analysis using Operational Data Measurement
Tom Richard Vargis, Siavash Ghiasvand
Monitoring the status of large computing systems is essential to identify unexpected behavior and improve their performance and uptime. However, due to the large-scale and distribu…
cs.CV2024
Content-Aware Depth-Adaptive Image Restoration
Tom Richard Vargis, Siavash Ghiasvand
This work prioritizes building a modular pipeline that utilizes existing models to systematically restore images, rather than creating new restoration models from scratch. Restorat…
cs.LG2022
Assessing Anonymized System Logs Usefulness for Behavioral Analysis in RNN Models
Tom Richard Vargis, Siavash Ghiasvand
System logs are a common source of monitoring data for analyzing computing systems' behavior. Due to the complexity of modern computing systems and the large size of collected moni…