English

Scheduling Maintenance Jobs in Networks

Data Structures and Algorithms 2017-02-01 v1

Abstract

We investigate the problem of scheduling the maintenance of edges in a network, motivated by the goal of minimizing outages in transportation or telecommunication networks. We focus on maintaining connectivity between two nodes over time; for the special case of path networks, this is related to the problem of minimizing the busy time of machines. We show that the problem can be solved in polynomial time in arbitrary networks if preemption is allowed. If preemption is restricted to integral time points, the problem is NP-hard and in the non-preemptive case we give strong non-approximability results. Furthermore, we give tight bounds on the power of preemption, that is, the maximum ratio of the values of non-preemptive and preemptive optimal solutions. Interestingly, the preemptive and the non-preemptive problem can be solved efficiently on paths, whereas we show that mixing both leads to a weakly NP-hard problem that allows for a simple 2-approximation.

Keywords

Cite

@article{arxiv.1701.08809,
  title  = {Scheduling Maintenance Jobs in Networks},
  author = {Fidaa Abed and Lin Chen and Yann Disser and Martin Groß and Nicole Megow and Julie Meißner and Alexander T. Richter and Roman Rischke},
  journal= {arXiv preprint arXiv:1701.08809},
  year   = {2017}
}

Comments

CIAC 2017

R2 v1 2026-06-22T18:04:35.554Z