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Beyond moulin mechanisms

Published: 11 June 2007 Publication History

Abstract

The only known general technique for designing truthful, approximatelybudget-balanced cost-sharing mechanisms is due to Moulin. While Moulin mechanisms have been successfully designed for a widerange of applications, recent negative results show that for manyfundamental cost-sharing problems, Moulin mechanisms inevitably sufferfrom poor budget-balance, poor economic efficiency, or both. We propose acyclic mechanisms, a new framework for designingtruthful, approximately budget-balanced cost-sharing mechanisms. Acyclic mechanisms strictly generalize Moulin mechanisms andoffer three important advantages. First, it is easier to design acyclic mechanisms than Moulinmechanisms: many classical primal-dual algorithms naturallyinduce a non-Moulin acyclic mechanism with good performanceguarantees. Second, for several important classes of cost-sharing problems, acyclicmechanisms have exponentially better budget-balance and economicefficiency than Moulin mechanisms.Finally, while Moulin mechanisms have found application primarily in binary demand games, we extend acyclic mechanisms to general demand games, a multi-parameter setting in which each bidder can be allocated one of several levels of service.

References

[1]
A. Agrawal, P. Klein, and R. Ravi. When trees collide: an approximation algorithm for the generalized Steiner problem on networks. SIAM Journal on Computing, 24(3):440--456, 1995.
[2]
F. Chudak and D. B. Shmoys. Improved algorithms for the uncapacitated facilty location problem. SIAM Journal on Computing, 33(1):1--25, 2003.
[3]
V. Chváltal. A greedy heuristic for the set-covering problem. Mathematics of Operations Research, 4(3):233--235, 1979.
[4]
V. Chvátal. Linear Programming. Freeman, 1983.
[5]
N. R. Devanur, M. Mihail, and V. V. Vazirani. Strategyproof cost-sharing mechanisms for set cover and facility location games. Decision Support Systems, pages 11--22, 2005.
[6]
U. Feige. A threshold of ln n for approximating set cover. Journal of the ACM, 45(4):634--652, 1998.
[7]
J. Feigenbaum, A. Krishnamurthy, R. Sami, and S. Shenker. Hardness results for multicast cost sharing. Theoretical Computer Science, 304:215--236, 2003.
[8]
M. X. Goemans and D. P. Williamson. A general approximation technique for constrained forest problems. SIAM Journal on Computing, 24(2):296--317, 1995.
[9]
S. Guha and S. Khuller. Greedy strikes back: Improved facility location algorithms. Journal of Algorithms, 31(1):228--248, 1999.
[10]
A. Gupta, J. Könemann, S. Leonardi, R. Ravi, and G. Schäfer. An efficient cost-sharing mechanism for the prize-collecting Steiner forest problem. In Proceedings of the 18th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), 2007.
[11]
A. Gupta, A. Kumar, M. Pál, and T. Roughgarden. Approximation via cost-sharing: A simple approximation algorithm for the multicommodity rent-or-buy problem. In Proceedings of the 44th Annual Symposium on Foundations of Computer Science (FOCS), pages 606--615, 2003.
[12]
A. Gupta, A. Srinivasan, and É. Tardos. Cost-sharing mechanisms for network design. In Proceedings of the 7th International Workshop on Approximation Algorithms for Combinatorial Optimization Problems (APPROX), volume 3122 of Lecture Notes in Computer Science, pages 139--150, 2004.
[13]
D. S. Hochbaum. Heuristics for the fixed cost median problem. Mathematical Programming, 22(2):148--162, 1982.
[14]
N. Immorlica, M. Mahdian, and V. S. Mirrokni. Limitations of cross-monotonic cost-sharing schemes. In Proceedings of the 16th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), pages 602--611, 2005.
[15]
K. Jain, M. Mahdian, E. Markakis, A. Saberi, and V. V. Vazirani. Greedy facility location algorithms analyzed using dual fitting with factor-revealing LP. Journal of the ACM, 60(6):795--824, 2003.
[16]
K. Jain and V. Vazirani. Applications of approximation algorithms to cooperative games. In Proceedings of the 33rd Annual ACM Symposium on the Theory of Computing (STOC), pages 364--372, 2001.
[17]
K. Jain and V. Vazirani. Equitable cost allocations via primal-dual-type algorithms. In Proceedings of the 34th Annual ACM Symposium on the Theory of Computing (STOC), pages 313--321, 2002.
[18]
K. Jain and V. V. Vazirani. Approximation algorithms for metric facility location and k-median problems using the primal-dual schema and Lagrangian relaxation. Journal of the ACM, 48(2):274--296, 2001.
[19]
J. Könemann, S. Leonardi, and G. Schäfer. A group-strategyproof mechanism for Steiner forests. In Proceedings of the 16th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), pages 612--619, 2005.
[20]
S. Leonardi and G. Schäfer. Cross-monotonic cost-sharing methods for connected facility location. Theoretical Computer Science, 326(1-3):431--442, 2004.
[21]
H. Moulin. Incremental cost sharing: Characterization by coalition strategy-proofness. Social Choice and Welfare, 16:279--320, 1999.
[22]
H. Moulin and S. Shenker. Strategyproof sharing of submodular costs: Budget balance versus efficiency. Economic Theory, 18:511--533, 2001.
[23]
M. Pál and É. Tardos. Group strategyproof mechanisms via primal-dual algorithms. In Proceedings of the 44th Annual Symposium on Foundations of Computer Science (FOCS), pages 584--593, 2003.
[24]
D. C. Parkes and L. H. Ungar. Iterative combinatorial auctions: Theory and practice. In Proceedings of the 17th National Conference on Artificial Intelligence (AAAI), pages 74--81, 2000.
[25]
T. Roughgarden and M. Sundararajan. New trade-offs in cost-sharing mechanisms. In Proceedings of the 38th Annual ACM Symposium on the Theory of Computing (STOC), pages 79--88, 2006.
[26]
T. Roughgarden and M. Sundararajan. Optimal efficiency guarantees for network design. In Proceedings of the 12th Conference on Integer Programming and Combinatorial Optimization (IPCO), 2007.
[27]
D. B. Shmoys, É. Tardos, and K. Aardal. Approximation algorithm for facility location problems. In Proceedings of the 29th Annual ACM Symposium on the Theory of Computing (STOC), pages 265--274, 1997.
[28]
V. V. Vazirani.Approximation Algorithms. Springer, 2001.

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    cover image ACM Conferences
    EC '07: Proceedings of the 8th ACM conference on Electronic commerce
    June 2007
    384 pages
    ISBN:9781595936530
    DOI:10.1145/1250910
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 11 June 2007

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    Author Tags

    1. cost-sharing
    2. mechanism

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    EC07: ACM Conference on Electronic Commerce
    June 11 - 15, 2007
    California, San Diego, USA

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    Overall Acceptance Rate 664 of 2,389 submissions, 28%

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