We propose using the scientific method to develop a deeper understanding of CPU schedulers used in Linux kernel. From these observations we are able to infer the underlying CPU scheduling policy and create models that predict scheduling behavior. Meanwhile, we would talk about CPU scheduler improvements which aim to be efficient and scalable for interactive tasks.
About Jui-Tse Huang
A current 4th-grade student of National Cheng-Kong University, majoring in Computer Science and Information Engineering.