DocumentCode
472458
Title
Towards Self-Tuning of Dynamic Resources for Workloads
Author
Duan, Fu ; Han, Yongjie ; Zhao, Qiuyong ; Xie, Keming
Author_Institution
Taiyuan Univ. of Technol., Taiyuan
fYear
2008
fDate
23-24 Jan. 2008
Firstpage
297
Lastpage
300
Abstract
In self-tuning of database performance research area, the optimization of dynamic resources is important. This paper focused on the self-tuning of dynamic resources on the base of feedback mechanism, designed and achieved a simple model combined with Oracle database. This model gave an evaluating principle of system performance, and could adjust system parameters automatically to achieve the goal of system performance. And an evaluation model was designed to evaluate the performance state of the running system. The result after the self-tuning of some parameters was illustrated by simulating various workloads.
Keywords
artificial intelligence; database management systems; resource allocation; Oracle database; database performance; dynamic resource optimization; dynamic resource self-tuning; feedback mechanism; system performance; workloads; Data mining; Database systems; Dictionaries; Feedback; Hardware; Heuristic algorithms; Prototypes; Scheduling algorithm; System performance; Tuning;
fLanguage
English
Publisher
ieee
Conference_Titel
Knowledge Discovery and Data Mining, 2008. WKDD 2008. First International Workshop on
Conference_Location
Adelaide, SA
Print_ISBN
978-0-7695-3090-1
Type
conf
DOI
10.1109/WKDD.2008.112
Filename
4470398
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