Operations Research Transactions ›› 2013, Vol. 17 ›› Issue (4): 96-102.

• Original Articles • Previous Articles     Next Articles

Online parallel batching scheduling for nonincreasing-processing-time jobs to minimize the maximum flow-time

JIAO Chengwen1,2, LI Wenhua1,*   

  1. 1. School of Mathematics and Statistics, Zhengzhou University, Zhengzhou 450001, China; 2. School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
  • Online:2013-12-15 Published:2013-12-15

Abstract: We consider on-line scheduling on a parallel batching machine where the jobs come with the nonincreasing-processing times. In this paper online means that jobs arrive over time. The objective is to minimize the maximum flow time of these jobs.  The flow-time of a job means that its completion time minus its arrival time.  It reflects the time of the job staying in the system. For the bounded model, we give a best possible algorithm with competitive ratio $\frac{1+\sqrt{5}}{2}$. For the unbounded model, we also give a best possible algorithm with competitive ratio $\sqrt{2}$.

Key words: on-line scheduling, parallel batching, maximum flow-time, competitive ratio

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