Title
Logarithmic price of buffer downscaling on line metrics.
Abstract
We consider the reordering buffer problem on a line consisting of n equidistant points. We show that, for any constant δ, an (offline) algorithm that has a buffer (1−δ)⋅k performs worse by a factor of Ω(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 (2009) [9] is essentially optimal against any offline algorithm with a slightly larger buffer.
Year
DOI
Venue
2018
10.1016/j.tcs.2017.10.008
Theoretical Computer Science
Keywords
DocType
Volume
Reordering buffer,Competitive analysis
Journal
707
ISSN
Citations 
PageRank 
0304-3975
0
0.34
References 
Authors
7
8
Name
Order
Citations
PageRank
Marcin Bienkowski125427.18
Martin Böhm2296.65
Lukasz Jez36111.93
Paweł Laskoś-Grabowski400.34
Jan Marcinkowski5473.92
jir sgall619922.48
Aleksandra Spyra700.34
Pavel Veselý8309.05