Perpetual maintenance of machines with different urgency requirements



Gąsieniec, Leszek ORCID: 0000-0003-1809-9814, Jurdziński, Tomasz, Klasing, Ralf, Levcopoulos, Christos, Lingas, Andrzej, Min, Jie and Radzik, Tomasz
(2022) Perpetual maintenance of machines with different urgency requirements. [Preprint]

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Abstract

A garden $G$ is populated by $n\ge 1$ bamboos $b_1, b_2, ..., b_n$ with the respective daily growth rates $h_1 \ge h_2 \ge \dots \ge h_n$. It is assumed that the initial heights of bamboos are zero. The robotic gardener maintaining the garden regularly attends bamboos and trims them to height zero according to some schedule. The Bamboo Garden Trimming Problem (BGT) is to design a perpetual schedule of cuts to maintain the elevation of the bamboo garden as low as possible. 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. The objective is to design a perpetual schedule of servicing which minimizes the maximum (weighted) waiting time for servicing. We consider two variants of BGT. In discrete BGT the robot trims only one bamboo at the end of each day. In continuous BGT the bamboos can be cut at any time, however, the robot needs time to move from one bamboo to the next. For discrete BGT, we show tighter approximation algorithms for the case when the growth rates are balanced and for the general case. The former algorithm settles one of the conjectures about the Pinwheel problem. The general approximation algorithm improves on the previous best approximation ratio. For continuous BGT, we propose approximation algorithms which achieve approximation ratios $O(\log \lceil h_1/h_n\rceil)$ and $O(\log n)$.

Item Type: Preprint
Additional Information: 34 pages; 3 figures. A preliminary version appeared in the proceedings of SOFSEM 2017
Uncontrolled Keywords: cs.DS, cs.DS
Divisions: Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science
Depositing User: Symplectic Admin
Date Deposited: 07 Feb 2022 09:01
Last Modified: 15 Mar 2024 04:43
DOI: 10.48550/arxiv.2202.01567
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3148373