Online scheduling on two uniform machines to minimize the makespan

  • Authors:

  • Ming Liu;Yinfeng Xu;Chengbin Chu;Feifeng Zheng

  • Affiliations:

  • School of Management, Xian Jiaotong University, Xian, Shaanxi Province, 710049, PR China and Laboratoire Génie Industriel, Ecole Centrale Paris, Grande Voie des Vignes, 92295 Châtenay-Ma ...;School of Management, Xian Jiaotong University, Xian, Shaanxi Province, 710049, PR China;School of Management, Xian Jiaotong University, Xian, Shaanxi Province, 710049, PR China and Laboratoire Génie Industriel, Ecole Centrale Paris, Grande Voie des Vignes, 92295 Châtenay-Ma ...;School of Management, Xian Jiaotong University, Xian, Shaanxi Province, 710049, PR China

  • Venue:
  • Theoretical Computer Science
  • Year:
  • 2009

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Abstract

We consider two problems of online scheduling on two uniform machines: online scheduling under a grade of service (GoS) and online scheduling with reassignment. These problems are online in the sense that when a job presents, we have to irrevocably assign it to one of the machines before the next job is seen. The objective is to minimize the makespan. In the first problem, GoS means that some jobs have to be processed by some machine so that they can be guaranteed a higher quality. Assume that the speed of the higher GoS machine is normalized to 1, while the speed of the other one is s. We show that a lower bound of competitive ratio is 1+2ss+2 in the case 01. Then we propose and analyze two online algorithms: HSF algorithm and EX-ONLINE algorithm. HSF is optimal in the case where s1 and @S"1=@S"2s, where @S"1 and @S"2 denote the total processing time of jobs which request higher GoS machine and the total processing time of jobs which request the normal one, respectively. EX-ONLINE is optimal in the case 2(2-1)@?s@?1. In the second problem, we study two subproblems P"L and P"A proposed in [Z. Tan, S. Yu, Online scheduling with reassignment, Operations Research Letters 36 (2008) 250-254]. Assume that the speeds of 2 uniform machines are 1 and s=1, respectively. For P"L where we can reassign the last k jobs of the sequence, we show a lower bound of competitive ratio 1+11+s. For P"A where we can reassign arbitrary k jobs, we show a lower bound of competitive ratio (s+1)^2s^2+s+1. We propose a s+1s-competitive algorithm HSF-1 for both P"L and P"A. For P"A, we propose a (s+1)^2s+2-competitive algorithm EX-RA, which is superior to HSF-1 when 1@?s@?2.