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Optimal Semi-online Algorithms for Scheduling with Machine Activation Cost

机译:具有机器激活成本的最优半在线调度算法

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We investigate the following two semi-on-line scheduling problems with machine activation cost. We are given two potential identical machines to non-preemptively process a sequence of independent jobs. Machines need to be activated before starting to process, and each machine activated incurs a fixed machine activation cost. No machines are initially activated, and when a job is revealed the algorithm has the option to activate new machines. The objective is to minimize the sum of the makespan and activation cost of machines. For the first semi-on-line problem with known the sum size of all jobs P in advance , we present an semi-on-line algorithm which is optimal for every P > 0. For the second problem with known the largest size of all jobs L in advance, we present an optimal semi-on-line algorithm for every L > 0.
机译:我们用机器激活成本研究以下两个半在线调度问题。我们给了两个潜在的相同机器,以非抢占式地处理一系列独立的作业。在开始进行处理之前,必须先激活机器,并且激活的每台机器都会产生固定的机器激活成本。最初没有激活任何机器,并且当显示作业时,算法可以选择激活新机器。目的是使机器的制造期和激活成本之和最小。对于第一个事先知道所有作业的总和为P的半在线问题,我们提出一种对每个P> 0最佳的半在线算法。对于第二个已知所有任务的最大大小的半在线算法提前完成L个作业,我们针对每个L> 0提出了一种最优的半在线算法。

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