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A randomized on-line algorithm for the k-server problem on a line

机译:在线k服务器问题的随机在线算法

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摘要

The k-server problem is one of the most important and well-studied problems in the area of on-line computation. Its importance stems from the fact that it models many practical problems like multi-level memory paging encountered in operating systems, weighted caching used in the management of web caches, head motion planning of multi-headed disks, and robot motion planning. In this paper, we investigate its randomized version for which Theta (log k)-competitiveness is conjectured and yet hardly any < k competitive algorithms are known, even for the simplest of metric spaces of O(k) size.
机译:k服务器问题是在线计算领域中最重要且经过充分研究的问题之一。它的重要性源于以下事实:它对许多实际问题建模,例如操作系统中遇到的多级内存分页,用于Web缓存管理的加权缓存,多头磁盘的磁头运动计划以及机器人运动计划。在本文中,我们研究了其竞争性的随机版本,其中推测了Theta(log k)竞争性,即使对于O(k)大小的最简单度量空间,也几乎不知道任何

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