We investigate the preemptive scheduling of periodic tasks with hard deadlines. We show that, even in the uniprocessor case, no pseudopolynomial-time algorithm can test the feasibility of a task system within a constant speedup bound, unless P = NP. This result contrasts with recent results for sporadic task systems. For two special cases, synchronous task systems and systems with a constant number of different task types, we provide the first polynomial-time constant-speedup feasibility tests for multiprocessor platforms. Furthermore, we show that the problem of testing feasibility is coNP-hard for synchronous multiprocessor task systems. The complexity of some of these problems has been open for a long time. We also propose a weight maximization variant of the feasibility problem, where every task has a nonnegative weight, and the goal is to find a subset of tasks that can be scheduled feasibly and has maximum weight. We give the first constant-speed, constant-approximation algorithm for the case of synchronous task systems, together with related hardness results. © 2012 ACM.
Bonifaci, V., Chan, H.-., Marchetti-Spaccamela, A., & Megow, N. (2012). Algorithms and complexity for periodic real-time scheduling. ACM TRANSACTIONS ON ALGORITHMS, 9(1), 1-19.
|Titolo:||Algorithms and complexity for periodic real-time scheduling|
|Data di pubblicazione:||2012|
|Citazione:||Bonifaci, V., Chan, H.-., Marchetti-Spaccamela, A., & Megow, N. (2012). Algorithms and complexity for periodic real-time scheduling. ACM TRANSACTIONS ON ALGORITHMS, 9(1), 1-19.|
|Appare nelle tipologie:||1.1 Articolo in rivista|