A theoretical analysis of feedback flow control
SIGCOMM '90 Proceedings of the ACM symposium on Communications architectures & protocols
STOC '01 Proceedings of the thirty-third annual ACM symposium on Theory of computing
Journal of the ACM (JACM)
Tight bounds for worst-case equilibria
SODA '02 Proceedings of the thirteenth annual ACM-SIAM symposium on Discrete algorithms
Near-optimal network design with selfish agents
Proceedings of the thirty-fifth annual ACM symposium on Theory of computing
Proceedings of the twenty-second annual symposium on Principles of distributed computing
The Mathematics of Internet Congestion Control (Systems and Control: Foundations and Applications)
The Mathematics of Internet Congestion Control (Systems and Control: Foundations and Applications)
Efficiency Loss in a Network Resource Allocation Game
Mathematics of Operations Research
Selfish Routing in Capacitated Networks
Mathematics of Operations Research
A price-anticipating resource allocation mechanism for distributed shared clusters
Proceedings of the 6th ACM conference on Electronic commerce
Algorithmic Game Theory
Auctions with severely bounded communication
Journal of Artificial Intelligence Research
STACS'99 Proceedings of the 16th annual conference on Theoretical aspects of computer science
The efficiency and fairness of a fixed budget resource allocation game
ICALP'05 Proceedings of the 32nd international conference on Automata, Languages and Programming
An overview of pricing concepts for broadband IP networks
IEEE Communications Surveys & Tutorials
A scalable network resource allocation mechanism with bounded efficiency loss
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
Worst-Case Efficiency Analysis of Queueing Disciplines
ICALP '09 Proceedings of the 36th Internatilonal Collogquium on Automata, Languages and Programming: Part II
Nash equilibrium design and optimization
GameNets'09 Proceedings of the First ICST international conference on Game Theory for Networks
An Analysis of Troubled Assets Reverse Auction
WINE '09 Proceedings of the 5th International Workshop on Internet and Network Economics
Pricing under constraints in access networks: revenue maximization and congestion management
INFOCOM'10 Proceedings of the 29th conference on Information communications
An efficient Nash-implementation mechanism for network resource allocation
Automatica (Journal of IFAC)
On the efficiency of markets with two-sided proportional allocation mechanisms
SAGT'10 Proceedings of the Third international conference on Algorithmic game theory
Designing Network Protocols for Good Equilibria
SIAM Journal on Computing
Congestion games with variable demands
Proceedings of the 13th Conference on Theoretical Aspects of Rationality and Knowledge
Parameterized Supply Function Bidding: Equilibrium and Efficiency
Operations Research
The Worst-Case Efficiency of Cost Sharing Methods in Resource Allocation Games
Operations Research
Adversarial behavior in network mechanism design
Proceedings of the 5th International ICST Conference on Performance Evaluation Methodologies and Tools
Price differentiation in the kelly mechanism
ACM SIGMETRICS Performance Evaluation Review
Optimal Cost Sharing for Resource Selection Games
Mathematics of Operations Research
Price differentiation and control in the Kelly mechanism
Performance Evaluation
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We consider the problem of allocating a fixed amount of an infinitely divisible resource among multiple competing, fully rational users. We study the efficiency guarantees that are possible when we restrict to mechanisms that satisfy certain scalability constraints motivated by large-scale communication networks; in particular, we restrict attention to mechanisms where users are restricted to one-dimensional strategy spaces. We first study the efficiency guarantees possible when the mechanism is not allowed to price differentiate. We study the worst-case efficiency loss (ratio of the utility associated with a Nash equilibrium to the maximum possible utility), and show that Kelly's proportional allocation mechanism minimizes the efficiency loss when users are price anticipating. We then turn our attention to mechanisms where price differentiation is permitted; using an adaptation of the Vickrey-Clarke-Groves class of mechanisms, we construct a class of mechanisms with one-dimensional strategy spaces where Nash equilibria are fully efficient. These mechanisms are shown to be fully efficient even in general convex environments, under reasonable assumptions. Our results highlight a fundamental insight in mechanism design: when the pricing flexibility available to the mechanism designer is limited, restricting the strategic flexibility of bidders may actually improve the efficiency guarantee.