Scheduling of Identical Jobs with Bipartite Incompatibility Graphs on Uniform Machines. Computational Experiments
DOI:
https://doi.org/10.7494/dmms.2017.11.1-2.53Keywords:
batch scheduling, bipartite graph, polynomial algorithm, uniform machinesAbstract
Abstract. In the paper we consider the problem of scheduling of unit-length jobs on 3 or 4 uniform parallel machines to minimize schedule length or total completion time. We assume that jobs are subject to some kind of mutual exclusion constraints, modeled by a bipartite graph of bounded degree. The edges of the graph correspond to pairs of jobs that cannot be processed on the same machine. Although the problem is generally NP-hard, we show that under some conditions imposed on machine speeds and the structure of incompatibility graph our problem can be solved to optimality in polynomial time. Theoretical considerations are accompanied by computer experiments with some particular model of scheduling.References
Furmanczyk H., Kubale M., 2017a., Scheduling of unit-length jobs with bipartite incompatibility graphs on four uniform machines. Bulletin PAS - Tech. Sci., 65, pp. 29-34.
Furmanczyk H., Kubale M., 2017b., Scheduling of unit-length jobs with cubic incompatibility graphs on three uniform machines. Disc. Appl. Math., 00, pp. 00-00.
Furmanczyk H., Kubale M., submitted., Sharp bounds for the complexity of semiequitable coloring of cubic and subcubic graphs.
Kosowski A., 2009., A note on the strength and minimum color sum of bipartite graphs. Disc. Appl. Math., 157, pp. 2552-2554.
Małafiejski M., Giaro K., Janczewski R., Kubale M., 2004., Sum coloring of bipartite graphs with bounded degree. Algorithmica, 40, pp. 235-244.
Steger A., Wormald N. C., 1999., Generating random regular graphs quickly. Comb., Probab. and Comput., 8, pp. 377-396.
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Accepted 2017-10-09
Published 2017-12-05