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Complexity of server scheduling on parallel dedicated machines subject to fixed job sequences

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10.1080/01605682.2020.1779625

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We study server scheduling on parallel dedicated machines to minimize the makespan subject to given processing sequences. Before a job starts its processing on its designated machine, a loading operation must be performed, which is undertaken by a server shared by all the jobs. While the two-machine problem is polynomially solvable, we show that the problem becomes binaryNP-hard when the number of machines is three, and propose a pseudo-polynomial algorithm to solve the problem with a constant number of machines.

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