In this paper, we present a new self-tuning method based on fuzzy rules. We first automatically extract Automatic Workload Repository (AWR) report from a ...
In this paper, we present a new self-tuning method based on fuzzy rules. We first automatically extract Automatic Workload Repository (AWR) report from a ...
This paper first automatically extract Automatic Workload Repository (AWR) report from a database system, and then construct fuzzy rules by identifying the ...
Adaptive Self-Tuning Techniques for Performance Tuning of Database ...
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The fuzzy rules are framed after a detailed study of impact of each tuning parameter on the response-time of user queries. The proposed self-tuning architecture ...
An important soft-computing method, namely, fuzzy-based self-tuning approach has been proposed wherein, three inputs namely, buffer-hit-ratio, number of ...
The fuzzy-rules are framed after a detailed study of impact of each tuning parameter on the response-time of user queries. The proposed self-tuning architecture ...
Aug 10, 2014 · Self-tuning of database management systems (DBMS) offers important advantages such as improved performance, reduced total cost of ownership, ...
In this paper, we propose a new supervised self-tuning fuzzy modeling, which consist of some membership function expressed by the radial basis function with ...
Abstract - The feature of self learning makes fuzzy logic controllers [1,2] attractive in control applications. This paper proposes a strategy to tune the ...
This work proposes a fuzzy rule extraction methodology for a self-tuning fuzzy controller based on the fuzzy clustering method (FCM) and the similarity approach ...
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