Self-Tuning Performance of Database Systems Based on Fuzzy Rules

摘要：

　　Self-tuning performance of the database management system is a challenging and time-consuming work since multiple performance parameters need to be automatically adjusted.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 database system,and then construct fuzzy rules by identifying the relationship among the performance parameters and performance indicators.Finally,we develop an adaption algorithm to reconfigure the performance parameters with the fuzzy rules.Experiments on TPC-C workload show that the proposed method is feasible and effective.

关键词： Database Management System(DBMS) Performance Self-Tuning Fuzzy Rules

作者: Zhijie Wei Zuohua Ding Jueliang Hu

作者单位: Lab of Intelligent Computing and Software Engineering Zhejiang Sci-Tech University Hangzhou,Zhejiang 310018,China

会议类型: 国际会议

会议名称: The 2014 10th International Conference on Natural Computation (ICNC 2014) and the 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2014)(第十届自然计算和第十一届模糊系统与知识发现国际会议)

会议地点: 厦门

会议语种:英文

页码: 195-199

在线出版日期: 2014-08-19（万方平台首次上网日期，不代表论文的发表时间）