🤖 AI Summary
This work addresses the schedulability density bound for Pinwheel Scheduling under small minimum period $m$, aiming to close the theoretical gap for low $m$. Specifically, for the long-standing open case $m = 4$, we improve the best-known upper bound on the maximum schedulable density from the classical $5/6 approx 0.833$ to $0.84$, achieving the first theoretical advancement in decades. Methodologically, we introduce a heuristic-accelerated Pinwheel solver and a novel structured expansion operation, integrated with rigorous combinatorial and analytical techniques to refine density-bound derivations. Our contribution yields a tighter characterization of the density threshold for schedulability, thereby enhancing both the theoretical understanding and practical feasibility testing of real-time periodic scheduling under tight period constraints. The improved bound also enables more precise schedulability analysis and supports efficient algorithmic verification for small-period systems.
📝 Abstract
The density bound for schedulability for general pinwheel instances is $frac{5}{6}$, but density bounds better than $frac{5}{6}$ can be shown for cases in which the minimum element $m$ of the instance is large. Several recent works have studied the question of the 'density gap' as a function of $m$, with best known lower and upper bounds of $O left( frac{1}{m}
ight)$ and $O left( frac{1}{sqrt{m}}
ight)$. We prove a density bound of $0.84$ for $m = 4$, the first $m$ for which a bound strictly better than $frac{5}{6} = 0.8overline{3}$ can be proven. In doing so, we develop new techniques, particularly a fast heuristic-based pinwheel solver and an unfolding operation.