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    郭禾

    • 教授     博士生导师   硕士生导师
    • 性别:男
    • 毕业院校:大连理工大学
    • 学位:硕士
    • 所在单位:软件学院、国际信息与软件学院
    • 联系方式:guohe@dlut.edu.cn
    • 电子邮箱:guohe@dlut.edu.cn

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    Online scheduling with rearrangement on two related machines

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    论文类型:期刊论文

    发表时间:2011-03-04

    发表刊物:THEORETICAL COMPUTER SCIENCE

    收录刊物:SCIE、EI

    卷号:412

    期号:8-10

    页面范围:642-653

    ISSN号:0304-3975

    关键字:Scheduling problems; Competitive analysis; Online algorithms

    摘要:In this paper, we consider an online non-preemptive scheduling problem on two related machines with rearrangement to minimize the completion time, called online scheduling with bounded rearrangement, which is a semi-online problem. Jobs arrive one by one over list. When a new job arrives at most K already scheduled jobs can be removed from the schedule, then all removed jobs and the new job must be assigned to the machines. The problem is a relaxation of the similar problem online scheduling with a buffer [4]. Assume machine M-1 has speed 1 and M-2 has speed s >= 1. With respect to the worst case ratio, we obtain that (i) for s >= root 3 or K >= 2, the model of online scheduling with bounded rearrangement is equivalent to the model of online scheduling with a bounded buffer; (ii) the model of online scheduling with bounded rearrangement is more powerful than the model of online scheduling with a bounded buffer for root 2 <= s < root 3 and K = 1; (iii) except for 1.3247 <= s < root 3 and K = 1 there is an optimal algorithm for the online scheduling with bounded rearrangement; (iv) fors > 1.618 the lower bound is improved. (C) 2010 Elsevier B.V. All rights reserved.