Randomized truthful mechanisms for scheduling unrelated machines

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Abstract

In this paper, we consider randomized truthful mechanisms for scheduling tasks to unrelated machines, where each machine is controlled by a selfish agent. Some previous work on this topic focused on a special case, scheduling two machines, for which the best approximation ratio is 1.6737 [5] and the best lower bound is 1.5 [6]. For this case, we give a unified framework for designing universally truthful mechanisms, which includes all the known mechanisms, and also a tight analysis method of their approximation ratios. Based on this, we give an improved randomized truthful mechanism, whose approximation ratio is 1.5963. For the general case, when there are m machines, the only known technique is to obtain a -approximation truthful mechanism by generalizing a γ-approximation truthful mechanism for two machines[6]. There is a barrier of 0.75m for this technique due to the lower bound of 1.5 for two machines. We break this 0.75m barrier by a new designing technique, rounding a fractional solution. We propose a randomized truthful-in-expectation mechanism that achieves approximation of, for m machines. For the lower bound side, we focus on an interesting family of mechanisms, namely task-independent truthful mechanisms. We prove a lower bound of 11/7 for two machines and a lower bound of for m machines with respect to this family. They almost match our upper bounds in both cases. © 2008 Springer Berlin Heidelberg.

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APA

Lu, P., & Yu, C. (2008). Randomized truthful mechanisms for scheduling unrelated machines. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5385 LNCS, pp. 402–413). https://doi.org/10.1007/978-3-540-92185-1_46

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