Henry H. Liu

HENRY H. LIU, PHD, was once a physicist. Through his theoretical research and modeling on projecting trajectories of charged particles traveling at nearly the speed of light, he made unique, crucial contributions to several large-scale scientific research facilities in the national labs of China, France, Germany and the United States. Later he jumped to computers and focused on software systems performance optimization, benchmarking, sizing and capacity planning. Two of his highly acclaimed texts, Software Performance and Scalability: A Quantitative Approach, and Machine Learning: A Quantitative Approach, have been in use for educating CS students worldwide. In more recent years, as lead software system performance and capacity planning engineer, he applied his past scientific predictive modeling experience to helping forecast yearly, highly anticipated new product introduction (NPI) events and get better prepared for dealing with unusually high-volume peak traffic. He helped the company achieve the high standard of zero performance issues year after year consecutively for such NPI events, with high forecasting precision for peak traffic associated with such NPI events. His quantitative, methodical, profile and model based approach has been proven to be widely applicable to forecasting and timing any events of time-series nature.