Packing-Inspired Algorithms for Periodic Scheduling Problems with Harmonic Periods
Josef Grus, Claire Hanen, Zdeněk Hanzálek
TL;DR
$Weaddress non-preemptive periodic scheduling with harmonic periods on a single machine, and establish a bijection to height-divisible 2D packing (HD2D) to leverage packing techniques. The approach combines a CP model using pack constraints with packing-inspired heuristics (notably RG-FF-OPT) and compares against ILP on synthetic, time-triggered communication-like instances. The main contributions are the formal equivalence PSP HD2D, a CP formulation outperforming ILP on hard cases, and a packing-based heuristic framework that improves solvability for highly utilized PSPs. Overall, the work provides a novel structural perspective and practical algorithms for time-triggered scheduling in industrial and avionics settings, enabling scalable exact and heuristic solutions under high utilization.$
Abstract
We tackle the problem of non-preemptive periodic scheduling with a harmonic set of periods. Problems of this kind arise within domains of periodic manufacturing and maintenance, and also during the design of industrial, automotive, and avionics communication protocols, where efficient scheduling of messages is crucial for the performance of a time-triggered network. We consider the decision variant of the periodic scheduling problem on a single highly-utilized machine. We first prove a bijection between periodic scheduling and a particular (so-called height-divisible) 2D packing of rectangles. We formulate the problem using Constraint Programming and compare it with equivalent state-of-the-art Integer Linear Programming formulation, showing the former's superiority on difficult instances. Furthermore, we develop a packing-inspired first fit heuristic, which we compare with methods described in the literature. We justify our proposed methods on synthetically generated problem instances inspired by the communication of messages on one channel.
