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Charlemagne's challenge: the periodic latency problem

机译:查理曼大帝的挑战:周期性潜伏期问题

摘要

Latency problems are characterized by their focus on minimizing the waiting time for all clients. We study periodic latency problems, a non-trivial extension of standard latency problems. In a periodic latency problem each client has to be visited regularly: there is a server traveling at unit speed, and there is a set of n clients with given positions. The server must visit the clients over and over again, subject to the constraint thatsuccessive visits to client i are at most qi time units away from each other.We investigate two main problems. In problem PLPP the goal is to find a repeatable route for the server visiting as many clients as possible, without violating their qi's. In problem PLP the goal is to minimize the number of servers needed to serve all clients. In dependence on the topol-ogy of the underlying network, we derive polynomial-time algorithms or hardness results for these two problems. Our results draw sharp separation lines between easy and hard cases.
机译:延迟问题的特点是它们致力于最大程度地缩短所有客户的等待时间。我们研究周期性延迟问题,这是标准延迟问题的一个重要扩展。在周期性等待时间问题中,必须定期拜访每个客户端:有一个服务器以单位速度运行,并且有n个具有给定位置的客户端的集合。服务器必须一次又一次地拜访客户,但要满足对客户i的成功拜访最多相隔qi个时间单位的约束。我们研究了两个主要问题。在有问题的PLPP中,目标是为服务器访问尽可能多的客户端找到一条可重复的路径,而又不违背客户端的要求。在有问题的PLP中,目标是最大程度地减少服务所有客户端所需的服务器数量。根据基础网络的拓扑,我们针对这两个问题导出了多项式时间算法或硬度结果。我们的结果在简单案例和困难案例之间划出了清晰的界限。

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