ADJSA: An Adaptable Dynamic Job Scheduling Approach Based on Historical Information

Lan Xu; Qiao-ming Zhu; Zhengxian Gong; Pei-feng Li

2nd International ICST Conference on Scalable Information Systems

Research Article

ADJSA: An Adaptable Dynamic Job Scheduling Approach Based on Historical Information

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Cite: BibTeX Plain Text

@INPROCEEDINGS{10.4108/infoscale.2007.977,
    author={Lan Xu and Qiao-ming Zhu and Zhengxian Gong and Pei-feng Li},
    title={ADJSA: An Adaptable Dynamic Job Scheduling Approach Based on Historical Information},
    proceedings={2nd International ICST Conference on Scalable Information Systems},
    proceedings_a={INFOSCALE},
    year={2010},
    month={5},
    keywords={grid computing; job scheduling; historical information; adaptation},
    doi={10.4108/infoscale.2007.977}
}

Lan Xu
Qiao-ming Zhu
Zhengxian Gong
Pei-feng Li
Year: 2010
ADJSA: An Adaptable Dynamic Job Scheduling Approach Based on Historical Information
INFOSCALE
ICST
DOI: 10.4108/infoscale.2007.977

Lan Xu^1,2, Qiao-ming Zhu^1,2, Zhengxian Gong^1,2, Pei-feng Li^1,2

1: School of Computer Science & Technology, Soochow University, Suzhou, China, 215006
2: Key Lab of Computer Information Processing Technology of Jiangsu Province, Suzhou, China, 215006

Abstract

Currently, there are many researches focusing on grid scheduling and more and more scheduling algorithms were proposed. However, those algorithms are not satisfied with the requirement of the grid for ignoring its characteristics of dynamics, autonomy, distributing, etc. Therefore, this paper proposes an adaptable dynamic job scheduling approach based on historical information (ADJSA). This approach adjusts the predicting model automatically by using the recent jobs execution historical information and then selects the appropriate resource to execute the job considering dynamic and real-time factors of the Grid.

Keywords: grid computing; job scheduling; historical information; adaptation

Published: 2010-05-16
Modified: 2011-09-11

: http://dx.doi.org/10.4108/infoscale.2007.977

ADJSA: An Adaptable Dynamic Job Scheduling Approach Based on Historical Information

Abstract

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