...
首页> 外文期刊>Journal of combinatorial optimization >Semi-online scheduling on 2 machines under a grade of service provision with bounded processing times
【24h】

Semi-online scheduling on 2 machines under a grade of service provision with bounded processing times

机译:在2个机器上进行半在线调度,服务等级为有限的处理时间

获取原文
获取原文并翻译 | 示例

摘要

We study the problem of semi-online scheduling on 2 machines under a grade of service (GoS). GoS means that some jobs have to be processed by some machines to be guaranteed a high quality. The problem is online in the sense that jobs are presented one by one, and each job shall be assigned to a time slot on its arrival. Assume that the processing time p _i of every job J _i is bounded by an interval [a,α a], where a>0 and α>1 are two constant numbers. By knowing the bound of jobs' processing times, we denote it by semi-online problem. We deal with two semi-online problems. The first one concerns about bounded processing time constraint. First, we show that a lower bound of competitive ratio is: (1) 1+α/2 in the case where 1<α<2; (2) 3/2 in the case where 2≥α<5; and (3) 4+α/6 in the case where 5≥α<6. We further propose an algorithm, called B-ONLINE, and prove that in the case where 25/14 ≤ α and the optimal makespan C _(OPT) ≥20a, B-ONLINE algorithm is optimal. For the second problem, we further know the sum of jobs' processing times ∑ in advance. We first show a lower bound 1+α/2 in the case where 1<α<2, then we propose an algorithm B-SUM-ONLINE which is optimal in the case where Σ ≥ 2α/α-1 a and 1<α<2.
机译:我们研究了在服务等级(GoS)下在2台机器上进行半在线调度的问题。 GoS意味着某些作业必须由某些机器处理才能保证高质量。从作业被一个接一个地呈现的角度来看,问题是在线的,每个作业应在到达时分配给一个时隙。假设每个作业J _i的处理时间p _i以间隔[a,αa]为界,其中a> 0和α> 1是两个常数。通过了解作业的处理时间的界限,我们用半在线问题来表示它。我们处理两个半在线问题。第一个问题涉及有限的处理时间约束。首先,我们证明竞争比的下限是:(1)在1 <α<2的情况下为1 +α/ 2; (2)2≥α<5时为3/2; (3)5≥α<6时为4 +α/ 6。我们进一步提出了一种称为B-ONLINE的算法,并证明在25/14≤α且最佳制造跨度C _(OPT)≥20a的情况下,B-ONLINE算法是最佳的。对于第二个问题,我们进一步提前知道了作业处理时间的总和。我们首先在1 <α<2的情况下显示下界1 +α/ 2,然后提出一种算法B-SUM-ONLINE,该算法在Σ≥2α/α-1a和1 <α的情况下最佳<2。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号