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
Link To Document :
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