Texture-Based Heuristics for Scheduling Revisited

J. Christopher Beck, Andrew J. Davenport, Edward M. Sitarski, Mark S. Fox

Recent scheduling work has challenged the need for sophisticated heuristics such as those based on texture measurements. This paper examines these claims in the light of advances in scheduling technology. We compare a number of current heuristic commitment techniques against a texture-based heuristic. Our results demonstrate that texture-based heuristics can outperform these widely-used heuristic commitment techniques.


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