对不同紧急需求的机器进行永久维护

IF 1.1 3区 计算机科学 Q1 BUSINESS, FINANCE
Leszek Gąsieniec , Tomasz Jurdziński , Ralf Klasing , Christos Levcopoulos , Andrzej Lingas , Jie Min , Tomasz Radzik
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引用次数: 0

摘要

一个花园里有n根竹子,每根竹子都有自己的日生长率。竹园修剪问题(BGT)是为机器人园丁设计一个永久的竹子修剪时间表,以保持花园的海拔尽可能低。切割频率受从一根竹子移动到下一根竹子所需的时间的限制,在离散BGT中为一天,在连续BGT中由两根竹子之间的距离定义。竹园比喻了一组机器,这些机器必须由一个一次只能服务一台机器的机器人以不同的频率提供服务。对于离散BGT,我们展示了更严格的近似算法,其中一个解决了关于相关Pinwheel问题的长期猜测。对于连续BGT,我们提出了实现对数近似比的近似算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Perpetual maintenance of machines with different urgency requirements

A garden is populated by n bamboos, each with its own daily growth rate. The Bamboo Garden Trimming Problem (BGT) is to design for a robotic gardener a perpetual schedule of cutting bamboos to keep the elevation of the garden as low as possible. The frequency of cutting is constrained by the time needed to move from one bamboo to the next, which is one day in Discrete BGT and is defined by the distance between the two bamboos in Continuous BGT. The bamboo garden is a metaphor for a collection of machines which have to be serviced, with different frequencies, by a robot which can service only one machine at a time. For Discrete BGT, we show tighter approximation algorithms, with one of them settling a long-standing conjecture about the related Pinwheel problem. For Continuous BGT, we propose approximation algorithms which achieve logarithmic approximation ratios.

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来源期刊
Journal of Computer and System Sciences
Journal of Computer and System Sciences 工程技术-计算机:理论方法
CiteScore
3.70
自引率
0.00%
发文量
58
审稿时长
68 days
期刊介绍: The Journal of Computer and System Sciences publishes original research papers in computer science and related subjects in system science, with attention to the relevant mathematical theory. Applications-oriented papers may also be accepted and they are expected to contain deep analytic evaluation of the proposed solutions. Research areas include traditional subjects such as: • Theory of algorithms and computability • Formal languages • Automata theory Contemporary subjects such as: • Complexity theory • Algorithmic Complexity • Parallel & distributed computing • Computer networks • Neural networks • Computational learning theory • Database theory & practice • Computer modeling of complex systems • Security and Privacy.
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