Converging to periodic schedules for cyclic scheduling problems with resources and deadlines

Cyclic scheduling has been widely studied because of the importance of applications in manufacturing systems and in computer science. For this class of problems, a finite set of tasks with precedence relations and resource constraints must be executed repetitively while maximizing the throughput. Ma...

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Bibliographic Details
Published inComputers & operations research Vol. 51; pp. 227 - 236
Main Authors Dupont de Dinechin, Benoît, Munier Kordon, Alix
Format Journal Article
LanguageEnglish
Published Kidlington Elsevier Ltd 01.11.2014
Elsevier
Pergamon Press Inc
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Summary:Cyclic scheduling has been widely studied because of the importance of applications in manufacturing systems and in computer science. For this class of problems, a finite set of tasks with precedence relations and resource constraints must be executed repetitively while maximizing the throughput. Many applications also require that execution schedules be periodic i.e. the execution of each task is repeated with a fixed global period w. The present paper develops a new method to build periodic schedules with cumulative resource constraints, periodic release dates and deadlines. The main idea is to fix the period w, to unwind the cyclic scheduling problem for some number of iterations, and to add precedence relations so that the minimum time lag between two successive executions of any task equals w. Then, using any usual (not cyclic) scheduling algorithm to compute task starting times for the unwound problem, we prove that either the method converges to a periodic schedule of period w or it fails to compute a schedule. A non-polynomial upper bound on the number of iterations to unwind in order to guarantee that cyclic precedence relations and resource constraints are fulfilled is also provided. This method is successfully applied to a real-life problem, namely the software pipelining of inner loops on an embedded VLIW processor core by using a Graham list scheduling algorithm. •This paper presents a new methodology to build periodic schedules.•Precedence and complex resources constraints are taken into account.•The aim is to minimize the throughput.•Heuristic or exact solution may be obtained.•Our method is successfully applied for executing a vectorial loop on an embedded VLIW processor.
ISSN:0305-0548
1873-765X
0305-0548
DOI:10.1016/j.cor.2014.03.004