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https://hdl.handle.net/20.500.14279/10563| Title: | Automated Experiment-Driven Management of (Database) Systems | Authors: | Babu, Shivnath Borisov, Nedyalko Duan, Songyun Herodotou, Herodotos Thummala, Vamsidhar |
metadata.dc.contributor.other: | Ηροδότου, Ηρόδοτος | Major Field of Science: | Engineering and Technology | Field Category: | Electrical Engineering - Electronic Engineering - Information Engineering | Keywords: | Instrumentation data;Administrative task | Issue Date: | 2009 | Source: | Proceeding HotOS'09 Proceedings of the 12th conference on Hot topics in operating systems Pages 19-19 | Conference: | Conference on Hot topics in operating systems, HotOS | 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. | Rights: | USENIX Association Berkeley, CA, USA ©2009 | Type: | Conference Papers | Affiliation : | Duke University | Publication Type: | Peer Reviewed |
| Appears in Collections: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
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