Please use this identifier to cite or link to this item:
|Title:||Automated Experiment-Driven Management of (Database) Systems||Authors:||Babu, Shivnath
|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|
Show full item record
checked on Jan 24, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.