Approximation Schemes for Covering and Scheduling on Related Machines
APPROX '98 Proceedings of the International Workshop on Approximation Algorithms for Combinatorial Optimization
ESA '97 Proceedings of the 5th Annual European Symposium on Algorithms
Truthful Mechanisms for One-Parameter Agents
FOCS '01 Proceedings of the 42nd IEEE symposium on Foundations of Computer Science
Approximation schemes for scheduling and covering on unrelated machines
Theoretical Computer Science
An approximation algorithm for max-min fair allocation of indivisible goods
Proceedings of the thirty-ninth annual ACM symposium on Theory of computing
Setting lower bounds on truthfulness: extended abstract
SODA '07 Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms
On allocations that maximize fairness
Proceedings of the nineteenth annual ACM-SIAM symposium on Discrete algorithms
Truthful Approximation Schemes for Single-Parameter Agents
FOCS '08 Proceedings of the 2008 49th Annual IEEE Symposium on Foundations of Computer Science
MaxMin allocation via degree lower-bounded arborescences
Proceedings of the forty-first annual ACM symposium on Theory of computing
Maximizing the minimum load for selfish agents
Theoretical Computer Science
On Allocating Goods to Maximize Fairness
FOCS '09 Proceedings of the 2009 50th Annual IEEE Symposium on Foundations of Computer Science
A deterministic truthful PTAS for scheduling related machines
SODA '10 Proceedings of the twenty-first annual ACM-SIAM symposium on Discrete Algorithms
A robust PTAS for machine covering and packing
ESA'10 Proceedings of the 18th annual European conference on Algorithms: Part I
A polynomial-time approximation scheme for maximizing the minimum machine completion time
Operations Research Letters
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Designing truthful mechanisms for scheduling on related machines is a very important problem in single-parameter mechanism design.We consider the covering objective, that is we are interested in maximizing the minimum completion time of a machine. This problem falls into the class of problems where the optimal allocation can be truthfully implemented. A major open issue for this class is whether truthfulness affects the polynomial-time implementation. We provide the first constant factor approximation for deterministic truthful mechanisms. In particular we come up with a 2 + ε approximation guarantee, significantly improving on the previous upper bound of min(m, (2 + ε)sm/s1).