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A Duplication Task Scheduling Algorithm in Cloud Environments

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Intelligent Data Engineering and Automated Learning – IDEAL 2016 (IDEAL 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9937))

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Abstract

In this paper, we propose an improved adaptive heuristic algorithm with duplication (D-IAHA). It turns the workflow into complex directed acyclic graph (DAG) in cloud environments, and then modifies the improved adaptive heuristic algorithm (IAHA) considering duplication. Specifically, D-IAHA repeats important predecessor tasks in the free time slots of the processors, in order to avoid long communication cost between tasks. Meanwhile, elimination of redundant tasks is taken into account. The experimental results show that the proposed method can achieve good performance, significantly obtain the response quickly moreover optimize makespan, load balancing on resources and failure rate of tasks.

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Acknowledgements

This research was supported in part by the Chinese National Natural Science Foundation under grant No. 61402396, 61402203 and 61379066, Natural Science Foundation of Jiangsu Province under contract BK20161338, The high-level talent project of “Six talent peaks” of Jiangsu Province under contract 2012-WLW-024, Joint innovation fund project of industry, education and research of Jiangsu Province (prospective joint research) under contract BY2013063-10 and the talent project of “Green Yangzhou and golden phoenix” under contract 2013–50.

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Authors and Affiliations

  1. College of Information Engineering, Yangzhou University, Yangzhou, China

    Min Ruan, Yun Li & Yinjuan Zhang

Authors
  1. Min Ruan
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  2. Yun Li
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  3. Yinjuan Zhang
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Corresponding author

Correspondence to Yun Li .

Editor information

Editors and Affiliations

  1. University of Manchester, Manchester, United Kingdom

    Hujun Yin

  2. Nanjing University, Nanjing, China

    Yang Gao

  3. Yangzhou University, Yangzhou, Jiangsu, China

    Bin Li

  4. Aeronautics and Astronautics, Nanjing University Aeronautics and Astronautics, Nanjing, China

    Daoqiang Zhang

  5. Nanjing Normal University, Nanjing, China

    Ming Yang

  6. Yangzhou University, Yangzhou, Jiangsu, China

    Yun Li

  7. Ostfalia University of Applied Sciences, Wolfenbüttel, Germany

    Frank Klawonn

  8. University of Seville, Seville, Spain

    Antonio J. Tallón-Ballesteros

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© 2016 Springer International Publishing AG

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Ruan, M., Li, Y., Zhang, Y. (2016). A Duplication Task Scheduling Algorithm in Cloud Environments. In: Yin, H., et al. Intelligent Data Engineering and Automated Learning – IDEAL 2016. IDEAL 2016. Lecture Notes in Computer Science(), vol 9937. Springer, Cham. https://doi.org/10.1007/978-3-319-46257-8_31

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  • DOI: https://doi.org/10.1007/978-3-319-46257-8_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46256-1

  • Online ISBN: 978-3-319-46257-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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