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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  • @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 Xu1,2, Qiao-ming Zhu1,2, Zhengxian Gong1,2, Pei-feng Li1,2
  • 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
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