Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/10563
Title: Automated Experiment-Driven Management of (Database) Systems
Authors: Babu, Shivnath 
Borisov, Nedyalko 
Duan, Songyun 
Herodotou, Herodotos 
Thummala, Vamsidhar 
Keywords: Instrumentation data;Administrative task
Category: Electrical Engineering - Electronic Engineering - Information Engineering
Field: Engineering and Technology
Issue Date: 2009
Publisher: USENIX Association Berkeley
Source: Proceeding HotOS'09 Proceedings of the 12th conference on Hot topics in operating systems Pages 19-19
Abstract: In this position paper, we argue that an important piece of the system administration puzzle has largely been left untouched by researchers. This piece involves mechanisms and policies to identify as well as collect missing instrumentation 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.
URI: http://ktisis.cut.ac.cy/handle/10488/10563
Rights: USENIX Association Berkeley, CA, USA ©2009
Type: Conference Papers
Appears in Collections:Δημοσιεύσεις σε συνέδρια/Conference papers

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