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Proof of the Density Threshold Conjecture for Pinwheel Scheduling

Published: 11 June 2024 Publication History

Abstract

In the pinwheel scheduling problem, each task i is associated with a positive integer ai called its period, and we want to (perpetually) schedule one task per day so that each task i is performed at least once every ai days. An obvious necessary condition for schedulability is that the density, i.e., the sum of the reciprocals 1/ai, not exceed 1. We prove that all instances with density not exceeding 5/6 are schedulable, as was conjectured by Chan and Chin in 1993. Like some of the known partial progress towards the conjecture, our proof involves computer search for schedules for a large but finite set of instances. A key idea in our reduction to these finite cases is to generalize the problem to fractional (non-integer) periods in an appropriate way. As byproducts of our ideas, we obtain a simple proof that every instance with two distinct periods and density at most 1 is schedulable, as well as a fast algorithm for the bamboo garden trimming problem with approximation ratio 4/3.

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Received 2023-11-13; accepted 2024-02-11

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cover image ACM Conferences
STOC 2024: Proceedings of the 56th Annual ACM Symposium on Theory of Computing
June 2024
2049 pages
ISBN:9798400703836
DOI:10.1145/3618260
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Published: 11 June 2024

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Author Tags

  1. Beatty sequence
  2. bamboo garden trimming
  3. density
  4. pinwheel scheduling

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STOC '24
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STOC '24: 56th Annual ACM Symposium on Theory of Computing
June 24 - 28, 2024
BC, Vancouver, Canada

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