Automated experiment-driven management of (database) systems
Shivnath Babu, Nedyalko Borisov, Songyun Duan, Herodotos Herodotou, Vamsidhar Thummala · 2009
In this position paper, we argue that an important piece of the system administration puzzle has largely been left un-touched by researchers. This piece involves mechanisms and policies to identify as well as collect missing instru-mentation data; the missing data is essential to generate the knowledge required to address certain administrative tasks satisfactorily and efficiently. We introduce the paradigm of experiment-driven management which encapsulates such mechanisms and policies for a given administrative task. We outline the benefits that automated experiment-driven management brings to several long-standing problems in databases as well as other systems, and identify research challenges as well as initial solutions. 1