最小化不相关机器的流程时间

N. Bansal, Janardhan Kulkarni
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引用次数: 21

摘要

考虑了一些经典的不相关机器设置下的流时间最小化问题。在此设置中,有一组m台机器和一组n个作业,每个作业j在机器i上的处理时间pij与机器相关。作业的流时间是作业在系统中花费的时间(其完成时间减去其到达时间),是最自然的服务质量度量之一。我们展示了以下两个结果:一个$O(min(log2 n, log n log P))近似算法用于最小化总流时间,一个$O(log n)近似算法用于最小化最大流时间。这里P是最大作业大小与最小作业大小的比值。这是已知的第一个针对这两个问题的多对数保证。
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Minimizing Flow-Time on Unrelated Machines
We consider some classical flow-time minimization problems in the unrelated machines setting. In this setting, there is a set of m machines and a set of n jobs, and each job j has a machine dependent processing time of pij on machine i. The flow-time of a job is the amount of time the job spends in a system (its completion time minus its arrival time), and is one of the most natural measure of quality of service. We show the following two results: an $O(min(log2 n, log n log P)) approximation algorithm for minimizing the total flow-time, and an O(log n) approximation for minimizing the maximum flow-time. Here P is the ratio of maximum to minimum job size. These are the first known poly-logarithmic guarantees for both the problems.
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