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Collaboration Patterns at Scheduling in 10 Years

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Part of the book series:Lecture Notes in Computer Science ((LNISA,volume 10451))

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Abstract

Scheduling analysis, which focuses on the evaluation, testing and verification of the scheduling systems and the algorithms used in real-time operations, is critical to a number of research areas such as databases and transaction management. In order to better understand the field of scheduling, we select and investigate 9,611 papers about scheduling from five SCI journals which have published many excellent papers about scheduling. This paper presents a collaboration analysis of the scheduling field. In addition, we generate three networks to analyze collaboration patterns between scientists, including co-authorship network, keyword co-occurrence network and author co-keyword network to show the collaboration relationship between authors in the field of scheduling. The research findings from our work can help researchers understand the research status of scheduling and gain valuable insights on future technical trends in the scheduling field.

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Acknowledgment

This work was supported in part by the Natural Science Foundation of China under Grant 61502069, by the Natural Science Foundation of Liaoning under Grant 2015020003.

Author information

Authors and Affiliations

  1. School of Software, Dalian University of Technology, Dalian, 116620, China

    Xiujuan Xu, Yu Liu & Ruixin Ma

  2. Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, Dalian, 116620, China

    Xiujuan Xu, Yu Liu & Ruixin Ma

  3. Department of Computing, Macquarie University, Sydney, NSW, 2109, Australia

    Quan Z. Sheng

Authors
  1. Xiujuan Xu

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  2. Yu Liu

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  3. Ruixin Ma

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  4. Quan Z. Sheng

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Corresponding author

Correspondence toYu Liu.

Editor information

Editors and Affiliations

  1. University of the Balearic Islands, Palma, Mallorca, Spain

    Yuhua Luo

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© 2017 Springer International Publishing AG

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Xu, X., Liu, Y., Ma, R., Sheng, Q.Z. (2017). Collaboration Patterns at Scheduling in 10 Years. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2017. Lecture Notes in Computer Science(), vol 10451. Springer, Cham. https://doi.org/10.1007/978-3-319-66805-5_30

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