Towards Self-tuning of Dynamic Resources for Workloads

FU Duan; Yongjie Han; Qiuyong Zhao; Keming Xie

1st International ICST Workshop on Knowledge Discovery and Data Mining

Research Article

Towards Self-tuning of Dynamic Resources for Workloads

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.4108/wkdd.2008.2653,
    author={FU Duan and Yongjie Han and Qiuyong Zhao and Keming Xie},
    title={Towards Self-tuning of Dynamic Resources for Workloads},
    proceedings={1st International ICST Workshop on Knowledge Discovery and Data Mining},
    publisher={ACM},
    proceedings_a={WKDD},
    year={2010},
    month={5},
    keywords={},
    doi={10.4108/wkdd.2008.2653}
}

FU Duan
Yongjie Han
Qiuyong Zhao
Keming Xie
Year: 2010
Towards Self-tuning of Dynamic Resources for Workloads
WKDD
ACM
DOI: 10.4108/wkdd.2008.2653

FU Duan¹^,*, Yongjie Han¹^,*, Qiuyong Zhao¹, Keming Xie¹

1: Taiyuan University of Technology, Taiyuan, Shanxi, P.R.China, 030024

*Contact email: duanfu@tyut.edu.cn, hhyyjj0000@126.com

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.

Published: 2010-05-16
Publisher: ACM
Modified: 2010-05-16

: http://dx.doi.org/10.4108/wkdd.2008.2653

Towards Self-tuning of Dynamic Resources for Workloads

Abstract

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