Logarithmic price of buffer downscaling on line metrics
October 16, 2016 Β· Declared Dead Β· π Theoretical Computer Science
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Authors
Marcin Bienkowski, Martin BΓΆhm, Εukasz JeΕΌ, PaweΕ LaskoΕ-Grabowski, Jan Marcinkowski, JiΕΓ Sgall, Aleksandra Spyra, Pavel VeselΓ½
arXiv ID
1610.04915
Category
cs.DS: Data Structures & Algorithms
Citations
3
Venue
Theoretical Computer Science
Last Checked
4 months ago
Abstract
We consider the reordering buffer problem on a line consisting of n equidistant points. We show that, for any constant delta, an (offline) algorithm that has a buffer (1-delta) k performs worse by a factor of Omega(log n) than an offline algorithm with buffer k. In particular, this demonstrates that the O(log n)-competitive online algorithm MovingPartition by Gamzu and Segev (ACM Trans. on Algorithms, 6(1), 2009) is essentially optimal against any offline algorithm with a slightly larger buffer.
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