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An Optimal On-Line Algorithm for Preemptive Scheduling on Two Uniform Machines in the e_p Norm

机译:e_p范数下两台均匀机器上抢占式调度的最优在线算法

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One of the basic and fundamental problems in scheduling is to minimize the machine completion time vector in the e_p norm (a direct extension of the l_∞ norm: the makespan) on uniform parallel machines. We concentrate on the on-line and preemptive version of this problem where jobs arrive one by one over a list and are allowed to be preempted. We present a best possible deterministic on-line scheduling algorithm along with a matching lower bound when there are two machines, generalizing existing results for the identical machines scheduling problem in the literature. The main difficulty in the design of the algorithm and the analysis of the resultant competitive ratio as well as the proof of the lower bound is that the competitive ratio is only known to be the root of some equation systems, which admits no analytic solution-a distinct feature from most existing literature on competitive analysis. As a consequence, we develop some new ideas to tackle this difficulty. Specifically we need to exploit the properties of the equations system that defines the competitive ratio.
机译:调度中的基本和基本问题之一是在均匀并行机器上最小化e_p范数(l_∞范数的直接扩展:makespan)中的机器完成时间向量。我们专注于此问题的在线抢先版本,其中作业在列表中一个接一个地到达并被允许抢占。当存在两台机器时,我们提出了一种最佳的确定性在线调度算法,以及一个匹配的下限,归纳了文献中相同机器调度问题的现有结果。算法设计和结果竞争比率分析以及下界证明的主要困难是,竞争比率仅是某些方程组的根,因此不接受解析解-与大多数现有的竞争分析文献不同。因此,我们提出了一些新思路来解决这一难题。具体来说,我们需要利用定义竞争比的方程组的属性。

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