Detecting Large-Scale System Problems by Mining Console Logs
Ling Huang is a Research Scientist at the Intel Labs Berkeley. He received his Ph.D. in Computer Science from the University of California, Berkeley in 2007. During his Ph.D. study, he was affiliated with RadLab, working with Anthony Joseph and Michael I. Jordan on decentralized anomaly detection. Ling Huang's primary research interests are in machine learning and distributed systems, with focus on making computers more intelligent in understanding and interacting with each other and with human. His current projects include low-power sensing and perception, fast machine learning method for large-scale data and systems, system modeling, optimization and problem diagnosis, network traffic monitoring and anomaly detection, etc.