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arXiv · 2007.13234

Resource Augmentation

Tim Roughgarden
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Abstract

This chapter introduces resource augmentation, in which the performance of an algorithm is compared to the best-possible solution that is handicapped by less resources. We consider three case studies: online paging, with cache size as the resource; selfish routing, with capacity as the resource; and scheduling, with processor speed as the resource. Resource augmentation bounds also imply "loosely competitive" bounds, which show that an algorithm's performance is near-optimal for most resource levels.

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Tim Roughgarden. 2020-07-26. Resource Augmentation. https://arxiv.org/abs/2007.13234

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