Near-Realtime Server Reboot Monitoring and Root Cause Analysis in a Large-Scale System
Fred Lin, Bhargav Bolla, Eric Pinkham, Neil Kodner, Daniel Moore, Amol Desai, Sriram Sankar
People
Fred Lin
Data Scientist
I work on end-to-end hardware analytics and machine learning applications for hardware health. I received my PhD at UC Santa Barbara for research on machine learning applications for post-silicon semiconductor validation.
Interests
Machine learning, data engineering, hardware sustaining at scale
Latest Publications
DSN - 2021
Fast Dimensional Analysis for Root Cause Investigation in a Large-Scale Service Environment
Fred Lin, Keyur Muzumdar, Nikolay Laptev, Mihai-Valentin Curelea, Seunghak Lee, Sriram Sankar
Predicting Remediations for Hardware Failures in Large-Scale Datacenters
Fred Lin, Antonio Davoli, Imran Akbar, Sukumar Kalmanje, Leandro Silva, John Stamford, Yanai Golany, Jim Piazza, Sriram Sankar
Optimizing Interrupt Handling Performance for Memory Failures in Large Scale Data Centers
Harish Dattatraya Dixit, Fred Lin, Bill Holland, Matt Beadon, Zhengyu Yang, Sriram Sankar
Hardware Remediation At Scale
Fred Lin, Matt Beadon, Harish Dattatraya Dixit, Gautham Vunnam, Amol Desai, Sriram Sankar
