文章基本信息

标题：Benchmarking Online Index-Tuning Algorithms
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作者：Ivo Jimenez. Jeff LeFevre. Neoklis Polyzotis. Huascar Sanchez. Karl Schnaitter.
期刊名称：Bulletin of the Technical Committee on Data Engineering
出版年度：2011
卷号：34
期号：04
页码：1-8
出版社：IEEE Computer Society
摘要：The topic of index tuning has received considerable attention in the research literature. However, very few studies provide a comparative evaluation of the proposed index tuning techniques in the same en- vironment and with the same experimental methodology. In this paper, we outline our efforts in this direction with the development of a performance benchmark for the specific problem of online index tuning. We describe the salient features of the benchmark, present some representative results on the evaluation of different index tuning techniques, and conclude with lessons we learned about implement- ing and running a benchmark for self tuning systems.