Algorithmic mechanism design (extended abstract)
STOC '99 Proceedings of the thirty-first annual ACM symposium on Theory of computing
Competitive analysis of incentive compatible on-line auctions
Proceedings of the 2nd ACM conference on Electronic commerce
Buffer overflow management in QoS switches
STOC '01 Proceedings of the thirty-third annual ACM symposium on Theory of computing
Truthful approximation mechanisms for restricted combinatorial auctions: extended abstract
Eighteenth national conference on Artificial intelligence
Pricing WiFi at Starbucks: issues in online mechanism design
Proceedings of the 4th ACM conference on Electronic commerce
Adaptive limited-supply online auctions
EC '04 Proceedings of the 5th ACM conference on Electronic commerce
Online ascending auctions for gradually expiring items
SODA '05 Proceedings of the sixteenth annual ACM-SIAM symposium on Discrete algorithms
Multi-unit auctions with unknown supply
EC '06 Proceedings of the 7th ACM conference on Electronic commerce
Better online buffer management
SODA '07 Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms
Considering suppressed packets improves buffer management in QoS switches
SODA '07 Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms
Truthful Mechanisms via Greedy Iterative Packing
APPROX '09 / RANDOM '09 Proceedings of the 12th International Workshop and 13th International Workshop on Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques
Prompt mechanism for ad placement over time
SAGT'11 Proceedings of the 4th international conference on Algorithmic game theory
The loss of serving in the dark
Proceedings of the forty-fifth annual ACM symposium on Theory of computing
Hi-index | 0.00 |
We study the following online problem: at each time unit, one of midentical items is offered for sale. Bidders arrive and depart dynamically, and each bidder is interested in winning one item between his arrival and departure. Our goal is to design truthful mechanisms that maximize the welfare, the sum of the utilities of winning bidders.We first consider this problem under the assumption that the private information for each bidder is his value for getting an item. In this model constant-competitive mechanisms are known, but we observe that these mechanisms suffer from the following disadvantage: a bidder might learn his payment only when he departs. We argue that these mechanism are essentially unusable, because they impose several seemingly undesirable requirements on any implementation of the mechanisms.To crystalize these issues, we define the notions of promptand tardymechanisms. We present two prompt mechanisms, one deterministic and the other randomized, that guarantee a constant competitive ratio. We show that our deterministic mechanism is optimal for this setting.We then study a model in which both the value and the departure time are private information. While in the deterministic setting only a trivial competitive ratio can be guaranteed, we use randomization to obtain a prompt truthful ${\it \Theta}(\frac 1 {\log m})$-competitive mechanism. We then show that no truthful randomized mechanism can achieve a ratio better than $\frac 1 2$ in this model.