Spawn: A Distributed Computational Economy
IEEE Transactions on Software Engineering
An automated auction in ATM network bandwidth
Market-based control
Economic models for allocating resources in computer systems
Market-based control
The POPCORN market.: online markets for computational resources
Decision Support Systems - Special issue on information and computational economics
Sequential versus simultaneous auctions: a case study
ICEC '06 Proceedings of the 8th international conference on Electronic commerce: The new e-commerce: innovations for conquering current barriers, obstacles and limitations to conducting successful business on the internet
Sequential auctions for the allocation of resources with complementarities
IJCAI'99 Proceedings of the 16th international joint conference on Artifical intelligence - Volume 1
GRID '12 Proceedings of the 2012 ACM/IEEE 13th International Conference on Grid Computing
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This paper introduces an efficient bidding strategy for budget-constrained buyers in repeated auctions with entry fees. We present a general algorithm that is applicable to distributed resource allocation. The game is modeled on an economically reasonable assumption [1] according to which any player can participate in an auction after paying for information about the value of the auctioned item, and for the preparation of his bid. We address learning by each bidder of an optimal participation strategy for spending his budget profitably, based on the history of his successes and failures in past transactions. Players' transient and long-term attitudes are illustrated in a symmetric Bayesian equilibrium of a market-based network resource allocation problem.