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arXiv · 1902.05808

A Comparison of Random Task Graph Generation Methods for Scheduling Problems

Louis-Claude Canon·Mohamad El Sayah·Pierre-Cyrille Héam
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Abstract

How to generate instances with relevant properties and without bias remains an open problem of critical importance for a fair comparison of heuristics. In the context of scheduling with precedence constraints, the instance consists of a task graph that determines a partial order on task executions. To avoid selecting instances among a set populated mainly with trivial ones, we rely on properties that quantify the characteristics specific to difficult instances. Among numerous identified such properties, the mass measures how much a task graph can be decomposed into smaller ones. This property, together with an in-depth analysis of existing random task graph generation methods, establishes the sub-exponential generic time complexity of the studied problem. Empirical observations on the impact of existing generation methods on scheduling heuristics concludes our study.

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Louis-Claude Canon, Mohamad El Sayah, Pierre-Cyrille Héam. 2019-02-15. A Comparison of Random Task Graph Generation Methods for Scheduling Problems. https://arxiv.org/abs/1902.05808

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