Optimal On-Line Algorithms to Minimize Makespan on Two Machines with Resource Augmentation |
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Authors: | Leah Epstein Arik Ganot |
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Affiliation: | (1) Department of Mathematics, University of Haifa, 31905 Haifa, Israel;(2) School of Computer Science, Tel-Aviv University, Ramat-Aviv, Tel-Aviv, Israel |
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Abstract: | We study the problem of on-line scheduling on two uniformly related machines where the on-line algorithm has resources different from those of the off-line algorithm. We consider three versions of this problem, preemptive semi-online, non-preemptive on-line and preemptive on-line scheduling. For all these cases we design algorithms with best possible competitive ratios as functions of the machine speeds. This work was submitted as a part of the M.Sc. thesis of the second author. A preliminary version of this paper appeared in the proceedings of The First Workshop on Approximation and Online Algorithms (WAOA’03), pages 109–122. |
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Keywords: | Online algorithms Resource augmentation Scheduling Load balancing |
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