,
Giorgos Mitropoulos
,
Christos Pergaminelis
,
Thanos Tolias
Creative Commons Attribution 4.0 International license
The k-Visits problem is a recently introduced finite version of Pinwheel Scheduling [Kanellopoulos et al., SODA 2026]. Given the deadlines of n tasks, the problem asks whether there exists a schedule of length kn executing each task exactly k times, with no deadline expiring between consecutive visits (executions) of each task. In this work we prove that 2-Visits is strongly NP-complete even when the maximum multiplicity of the input is equal to 2, settling an open question from [Kanellopoulos et al., 2026] and contrasting the tractability of 2-Visits for simple sets. On the other hand, we prove that 2-Visits is in RP when the number of distinct deadlines is constant, thus making progress on another open question regarding the parameterization of 2-Visits by the number of numbers. We then generalize all existing positive results for 2-Visits to a version of the problem where some tasks must be visited once and some other tasks twice, while providing evidence that some of these results are unlikely to transfer to 3-Visits. Lastly, we establish bounds for the density thresholds of k-Visits, analogous to the (5/6)-threshold of Pinwheel Scheduling [Kawamura, STOC 2024]; in particular, we show a √2-1/2≈ 0.9142 lower bound for the density threshold of 2-Visits and prove that the density threshold of k-Visits approaches 5/6≈ 0.8333 for k → ∞.
@InProceedings{kanellopoulos_et_al:LIPIcs.ICALP.2026.122,
author = {Kanellopoulos, Sotiris and Mitropoulos, Giorgos and Pergaminelis, Christos and Tolias, Thanos},
title = {{Hardness, Tractability and Density Thresholds of Finite Pinwheel Scheduling Variants}},
booktitle = {53rd International Colloquium on Automata, Languages, and Programming (ICALP 2026)},
pages = {122:1--122:23},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-428-4},
ISSN = {1868-8969},
year = {2026},
volume = {374},
editor = {Bhattacharya, Sayan and Nanongkai, Danupon and Benedikt, Michael and Puppis, Gabriele},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ICALP.2026.122},
URN = {urn:nbn:de:0030-drops-265115},
doi = {10.4230/LIPIcs.ICALP.2026.122},
annote = {Keywords: Pinwheel Scheduling, Perpetual Scheduling, NP-Completeness, Parameterized Complexity}
}