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AgileCtrl: a self-adaptive framework for configuration tuning

Shu Wang, Henry Hoffmann, Shan Lu

2022Year
7Citations
2Top-tier citations

Abstract

Software systems increasingly expose performance-sensitive configuration parameters, or PerfConfs, to users. Unfortunately, the right settings of these PerfConfs are difficult to decide and often change at run time. To address this problem, prior research has proposed self-adaptive frameworks that automatically monitor the software’s behavior and dynamically tune configurations to provide the desired performance despite dynamic changes. However, these frameworks often require configuration themselves; sometimes explicitly in the form of additional parameters, sometimes implicitly in the form of training.

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