Online scheduling of unit length jobs on a batching machine to maximize the number of early jobs with lookahead

Online scheduling of unit length jobs on a batching machine to maximize the number of early jobs with lookahead
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在配料机上在线调度单位长度作业,以通过前瞻最大限度地提高早期作业的数量

DOI:
10.1016/j.tcs.2009.07.056
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发表时间:
2009-11
影响因子:
1.1
通讯作者:
Li, Wenjie
Li, Wenjie
中科院分区:
计算机科学4区
文献类型:
--
作者:
Cao, Jianfa;Yuan, Jinjiang;Bu, Hailin;Li, Wenjie

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本文研究了并行批处理机上单位长度作业的在线调度问题。目标是最大化早期工作的数量。用b表示每个批的大小,其中在无界批中b=∞,在有界批中b<∞。在lkllookforward模型中,在时刻时刻t,在线算法可以预测在时间段(t,t+L)内到达的所有作业。当0≤L<1时,我们证明了一个简单的贪婪在线算法(与L的值无关)具有1/min{n,b+1}的最佳可能竞争比,其中n为作业数。这意味着当0≤L<1时,forward是无用的。当1≤L<2时,我们建立了竞争比的上界0.39(对于b=∞)和2/3(对于b<∞),并给出了竞争比的1/4(对于b=∞)和1/5(对于b<∞)的在线算法。
This paper studies online scheduling of unit length jobs on a parallel batching machine with the help of lookahead. The objective is to maximize the number of early jobs. Denote by b the size of each batch with b=∞ in the unbounded batching and b<∞ in the bounded batching. In the LKLlookahead model, at a time instant t, an online algorithm can foresee all jobs that will arrive in the time segment (t,t+L). When 0≤L<1, we show that a simple greedy online algorithm (independent of the value of L) has a best possible competitive ratio of 1/min{n,b+1}, where n is the number of jobs. This means that lookahead is useless when 0≤L<1. When 1≤L<2, we establish the upper bounds 0.39 (for b=∞) and 2/3 (for b<∞) of competitive ratios, and provide an online algorithm of competitive ratios 1/4 (for b=∞) and 1/5 (for b<∞).
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