Online scheduling of equal length jobs on unbounded parallel batch processing machines with limited restart
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  • 作者:Hailing Liu ; Jinjiang Yuan ; Wenjie Li
  • 关键词:Online scheduling ; Limited restart ; Unit length jobs ; Restricted batch
  • 刊名:Journal of Combinatorial Optimization
  • 出版年:2016
  • 出版时间:May 2016
  • 年:2016
  • 卷:31
  • 期:4
  • 页码:1609-1622
  • 全文大小:437 KB
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  • 作者单位:Hailing Liu (1) (2)
    Jinjiang Yuan (1)
    Wenjie Li (3)

    1. School of Mathematics and Statistics, Zhengzhou University, Zhengzhou, 450001, Henan, People’s Republic of China
    2. College of Science, Henan Institute of Engineering, Zhengzhou, 451191, Henan, People’s Republic of China
    3. School of Mathematical Sciences, Luoyang Normal University, Luoyang, 471022, Henan, People’s Republic of China
  • 刊物类别:Mathematics and Statistics
  • 刊物主题:Mathematics
    Combinatorics
    Convex and Discrete Geometry
    Mathematical Modeling and IndustrialMathematics
    Theory of Computation
    Optimization
    Operation Research and Decision Theory
  • 出版者:Springer Netherlands
  • ISSN:1573-2886
文摘
We consider the online scheduling of equal length jobs on unbounded parallel batch processing machines to minimize makespan with limited restart. In the problem \(m\) identical unbounded parallel batch processing machines are available to process the equal length jobs arriving over time. The processing batches are allowed limited restart. Here, “restart” means that a running task may be interrupted, losing all the work done on it, and the jobs in the interrupted task are then released and become independently unscheduled jobs, called restarted jobs. “Limited restart” means that only a running batch that contains no restarted jobs can be restarted. For this problem, we present a best possible online algorithm.

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