Machine Learning Solves Only Half of the Puzzle

As computer systems become ever-so complex to manage and optimize, various machine learning or data mining techniques have become popular in analyzing a large amount of system data. In this talk, I will share my limited experience and challenges we have encountered when exploring these techniques to solve system problems in our research projects and also commercial products.

Yuanyuan Zhou is currently a Qualcomm Chair Professor at the University of California, San Diego. Before UCSD, she was a tenured associate professor at University of Illinois at Urbana Champaign. Her research interests span the areas of operating systems, software engineering, system reliability and maintainability. She has co-founded three startups. Her recent startup, PatternInsight, has successfully deployed software quality assurance tools in many companies. In 2012, its Log Insight business line was acquired by VMware and now Log Insight is a VMware Product offering to its many data center customers for data center management. Dr. Zhou is an ACM Fellow and obtained her Ph.D. from Princeton. She has the great fortune of working with many talented students and colleagues.