AgileCtrl: a self-adaptive framework for configuration tuning
Shu Wang, Henry Hoffmann, Shan Lu
2022年份
7被引次数
2顶会引用
摘要
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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