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Optimal Coordination Mechanisms for Unrelated Machine Scheduling
2015
Operations Research
We investigate the influence of different algorithmic choices on the approximation ratio in selfish scheduling. Our goal is to design local policies that minimize the inefficiency of resulting equilibria. In particular, we design optimal coordination mechanisms for unrelated machine scheduling, and improve the known approximation ratio from Θ(m) to Θ(log m), where m is the number of machines. A local policy for each machine orders the set of jobs assigned to it only based on parameters of those
doi:10.1287/opre.2015.1363
fatcat:vso7rksv7ngwxh3vf43rbp5kte