Preemptive Online Scheduling: Optimal Algorithms for All Speeds

被引:0
|
作者
Tomáš Ebenlendr
Wojciech Jawor
Jiří Sgall
机构
[1] Institute of Mathematics,Department of Computer Science
[2] University of California,undefined
来源
Algorithmica | 2009年 / 53卷
关键词
Online algorithms; Scheduling; Makespan;
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学科分类号
摘要
Our main result is an optimal online algorithm for preemptive scheduling on uniformly related machines with the objective to minimize makespan. The algorithm is deterministic, yet it is optimal even among all randomized algorithms. In addition, it is optimal for any fixed combination of speeds of the machines, and thus our results subsume all the previous work on various special cases. Together with a new lower bound it follows that the overall competitive ratio of this optimal algorithm is between 2.054 and e≈2.718. We also give a complete analysis of the competitive ratio for three machines.
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