On the Offline Version of the Time-Optimal k-Server Problem

Abstract

We consider the offline problem of parallel relocation of k identical mobile resources. After each request, known in advance, the resources may move simultaneously, and the duration of a step is determined by the longest individual movement. This model is equivalent to the offline version of the time-optimal k-server problem. We prove that the decision version is strongly NP-complete already on metrics of finite subsets of the Euclidean line, or equivalently, on vertex metrics of weighted paths. Thus, the computational hardness persists even under a linear arrangement of the admissible resource locations. As a positive result, we show that the problem can be solved exactly in polynomial time on metrics of undirected unweighted graphs with a universal vertex.